Dingo provides condition monitoring, predictive maintenance and asset management solutions for asset-intensive industries with focus on oil & gas, mining and rail.
Founded in 1991, the company is headquartered in the Brisbane area, Australia with operations and customers around the world.
Its published customer base includes large mining companies, energy companies and rail equipment manufacturers. It is the recipient of Mining Magazine Software Award 2019.
Dingo offers a comprehensive conventional condition monitoring service backed by large data sets as well as a predictive maintenance and asset management solution (TRAKKA). The system uses machine learning for early detection of anomalies and prediction of equipment failures as well as calculation of Remaining Useful Life (RUL).
TRAKKA Key Features:
- DATA CONNECTOR LIBRARY: Comprehensive list of data connections, preconfigured to connect and interface with condition monitoring data providers, ERP systems, and mobile field inspection devices.
- DECISION SUPPORT: Proprietary rules-based decision-making engine built on a large equipment data set and expert insights. Rules and alerts can be created and customized down to the component level to proactively identify issues and provide the optimal corrective actions.
- WORKFLOW MANAGEMENT: Designed to improve production, increase asset availability, and optimize resource utilization. Open-issue tracking system that manages issues from identification through resolution. Integration with ERP systems can automate the work order generation directly from Trakka.
- GROUP TRENDING: Track and trend multivariate data to help analyze condition monitoring data and determine the impact of maintenance work. Group trending allows user to see where a value fits within the context of the overall fleet performance, providing broader insights into both the severity and practicality of potential solutions.
- CUSTOMIZABLE REPORTING AND DASHBOARDS: Ranging from site planning reports to time in abnormal condition metrics. Provides a view into live condition data that allows users to track performance while alerting to potential issues. This functionality is available from any web-enabled device.
- FINANCIAL TRACKING: Measures immediate and longer-term financial impact of each maintenance decision. The financial benefits captured range from breakdown avoidance, including parts and downtime savings, to the extension of the budgeted life of components.