Intelligent compressed air management in the age of Industry 4.0 - at the Hannover Messe, BOGE will show how compressed air systems can be easily analyzed and optimized with BOGE connect. The smart service tool has been expanded with additional connectivity options and thus offers even greater versatility.
All operating data constantly in view - BOGE connect records, monitors and visualizes all important parameters and thus enormously simplifies the administrative effort for users. All relevant data is stored in a digital machine file. Continuous monitoring allows conclusions to be drawn about the condition of the machine at any time. By evaluating data, abnormalities can be detected and faults rectified at an early stage. BOGE connect provides timely and automatic reminders of upcoming maintenance. The data can be accessed in real time from anywhere and is available on all mobile devices.
New connectivity options
Even older models and other makes as well as numerous components can be connected via a large number of interfaces. The revised version features new Interface Modules 2.0 for connecting compressors and accessories in both loose and permanently installed states. With the additional 5-way switch with four free Ethernet ports, further Modbus TCP components can be connected. Overall, BOGE connect in the enlarged control cabinet version now offers more space for modules and thus optimized connection options. Visitors to the Hannover Messe will be able to test the extensive functions of the enhanced service tool using the C 14 PM screw compressor as an example. The compact compressor is equipped with a permanent motor and already delivers the best performance values in principle, combined with an extremely low noise level. With BOGE connect, performance can be increased even further. This is because seamless reporting over the entire life cycle ensures low operating costs, maximum planning reliability and maximum efficiency. As an industrial IoT platform, the service tool paves the way for future "smart services" such as predictive maintenance.