Address complex challenges with advanced analytics and line sensing
Sentient Energy’s MM3ai System uses a powerful combination of technologies to address complex power deliver challenges. The system combines advanced analytics, line sensors, and cloud-based software to provide utilities with reports containing predictive indicators of impending outages and detection of elevated harmonics levels on feeders. Plus, the system provides fault detection and load data from more grid locations.
Key Features of the MM3ai System
The MM3ai System is a complete package designed for utilities to get started predicting impending outages and measuring harmonics levels while also leveraging the solution’s fault detection & location and load monitoring capabilities. The system generates daily or weekly reports and includes sensors, software, cellular fees and support including:
Boost Predicting Capabilities with the MM3ai System
Daily Report of Precursor Anomalies
The MM3ai System’s daily reporting combines high-fidelity waveform data from MM3ai sensors with proprietary algorithms to zero in on precursor anomalies indicative of vegetation in contact with lines and impending equipment failures. The report provides a snapshot of precursor anomaly levels by sensor location along each feeder.
Weekly Report of Harmonics Measurements
The MM3ai System also produces a weekly report that identifies feeders with elevated levels of harmonic distortion. The report includes a geospatial view of sensor sites using a redlight approach for areas of concern. By pinpointing these problem areas, utilities can initiate actions to determine root cause and mitigate the adverse effects of harmonics including potential equipment damage.
Advanced Software Platform
Ample Analytics is the central software platform for Sentient Energy’s MM3ai System. Ample enables utilities to maximize the value from their line sensor deployment by providing sensor fleet management, data integration, and grid monitoring capabilities. Ample’s container-based architecture means its applications and services are self-healing and can be configured to run in parallel on multiple instances for redundancy.
Amplify Predictive Capabilities with the MM3ai
Optimize Vegetation Management
Vegetation management is often the single largest line item of utility operations and maintenance budgets, even exceeding $100 million annually for many larger utilities. Vegetation management is not new to utilities – optimize your vegetation management by using the MM3ai System and provide a new way to better prioritize vegetation management work based on outage precursor anomalies.
Predict and Preempt Outages
Line sensors detect anomalies and capture waveforms which are then run through analytics models to identify precursors to permanent faults for equipment failure and vegetation contact with conductors. The MM3ai System generates daily reports with precursor anomalies by sensor location to enable data-driven proactive inspections and equipment repairs or tree trimming.
Sentient Energy MM3ai line sensors capture anomalies in waveforms and with advanced analytics, levels of harmonic distortion can be determined. The system generates weekly reports that provide harmonics measurements for each distribution feeder so utilities can identify elevated harmonics levels, isolate sources of harmonics problems, and take action to address them.
Quick, Easy Deployment
Every aspect of the MM3ai System is designed for easy deployment so utilities can begin predicting outages and measuring harmonics quickly. MM3ai line sensors are installed with a hot stick in minutes and one crew can typically install ten to twelve triplets of sensors along feeders in a single workday. MM3ai line sensors have integrated cellular communication to eliminate the need for installation of separate communication gateways and Ample software streamlines the commissioning of sensors and data integration.