Utilities maintain thousands of miles of Underground Residential Distribution (URD) cables, most of which are at least 30 years old. As these cables are sensor-less, utilities typically have limited visibility into their condition. In addition, lack of reliable data that can provide insight into cable survivability makes it difficult to prioritize maintenance/replacement activities, predict impending failures, and take proactive steps to reduce power outages.
mPrest's URD Cable Fleet Maintenance Optimization application enables utilities to implement predictive URD cable maintenance planning, resulting in savings of millions of dollars and improving level of service to consumers. The application extracts URD cable segment data from operational systems, then using AI-driven algorithms, discovers key factors affecting the performance and survivability of URD cables. Real-time visualizations and proactive maintenance recommendations enable utilities to optimize maintenance activities.
Download this brochure to understand the benefits of this product:
- Significant savings from day one by converting periodic reactive maintenance procedures into real-time proactive maintenance operations
- Reduce power outages based on self-learning data analytics model