MISSION CONTROL

Fleet-level management and intelligence platform

Overview

Mission Control is a fleet-level management and intelligence platform for decentralized energy systems. It continuously monitors the operational state of all stations within a user's fleet, regardless of climate class, location, or application domain.

The integrated AI layer analyzes system telemetry, performance trends, and component behavior in real time. When anomalies, degradation, or early signs of failure are detected, Mission Control generates a structured service notification, including the identified issue, GPS coordinates of the station, recommended spare parts, required tools, and optimal service route.

In parallel, Mission Control continuously evaluates localized weather forecasts for each station. Based on predicted environmental conditions — such as storms, extreme heat, cold waves, or high winds — the platform proactively transitions stations into predefined preparation modes. In these modes, each station operates according to its internal, climate-specific scenario, optimized for protection, stability, and continuity of operation.

All critical control logic remains executed locally at the station level. Mission Control functions as the supervisory and analytical layer, enabling predictive maintenance, coordinated fleet behavior, and long-term operational optimization across geographically distributed installations.

Core Functions

Real-time Monitoring

Continuous surveillance of all system parameters including voltage, current, temperature, and state of charge across the entire fleet.

Predictive Maintenance

AI-powered analysis of component wear patterns and performance degradation to schedule maintenance before failures occur.

Weather-based Automation

Integration with weather forecasting services to optimize energy generation and storage strategies based on upcoming conditions.

Fleet Analytics

Comprehensive dashboards and reports providing insights into fleet-wide performance, efficiency metrics, and optimization opportunities.

Service Workflow

1

Anomaly Detection

AI continuously analyzes telemetry data to identify performance deviations, component degradation, or early failure indicators.

2

Issue Classification

System classifies the detected issue by severity, affected component, and urgency level to prioritize service response.

3

Service Notification

Structured notification generated with GPS coordinates, recommended spare parts, required tools, and estimated repair time.

4

Route Optimization

If multiple stations require service, Mission Control calculates the optimal route for field technicians.

Key Capabilities

  • Universal compatibility with all climate classes (Desert Shield, Continental, Arctic Edition)
  • Real-time GPS tracking and geofencing
  • Automated alert escalation and notification routing
  • Historical data analysis and trend reporting
  • Mobile app for field technicians
  • API integration with third-party systems
  • Multi-language support for global deployments

Architecture

All critical control logic remains executed locally at the station level. Mission Control functions as the supervisory and analytical layer.

  • Edge computing at each station for autonomous operation
  • Secure cloud infrastructure for data aggregation and AI processing
  • End-to-end encryption for all communications
  • Redundant connectivity options (cellular, satellite, mesh)
  • Offline capability with automatic synchronization