Develon Uptime-Center

Redefining Digital Infrastructure Management

The Uptime Center emerges as an indispensable tool designed to provide Develon with a comprehensive and visual overview of critical systems and machine services.

At its core, the Uptime Center serves as a centralized hub for monitoring the health and availability of various digital assets. Aggregating data from diverse sources allows the company to gain insights into system performance, identify potential issues, and swiftly respond to any emerging problems.

Let’s delve deeper into the key features, benefits, and functionalities that the Uptime Center brings to the table. From its ability to detect anomalies and predict potential outages to its role in fostering cross-team collaboration, this dashboard is poised to redefine how businesses ensure the reliability and availability of their digital infrastructure.

Our Goals

Primary Objective:

The central focus of the Uptime Center is to optimize machine uptime, ensuring that equipment operates efficiently and effectively.

Proactive Approach

The Uptime Center aims to transition from a reactive stance, addressing issues as they arise, to a proactive strategy. This involves anticipating potential problems and preventing downtime.

Implementations of Innovations:

The Uptime Center actively incorporates new technologies and processes into its operations. This commitment to innovation is key to achieving and maintaining high levels of machine uptime.

Fault Codes

Regularly monitoring codes helps us perform preventive maintenance and avoid potential failures.

Oil Analysis

Examining data from oil analysis provides insights into the condition of machinery lubricants, helping to identify potential issues and optimize maintenance schedules.

Maintenance Monitoring

Regularly monitoring codes helps us perform preventive maintenance and avoid potential failures.

Component Load Measurement

Big data analyses include studying vibration and load measurements on components. This helps in understanding stress points and potential failures, enabling proactive intervention.

Previous Failure Data

Studying historical data on equipment failures aids in identifying patterns and root causes, informing strategies to prevent similar issues in the future.