The Scepter system infrastructure is an Atmospheric Sensor Network and Analytical Information System. This system observes atmospheric species and aerosols in the atmosphere and turns that dataset fused with other datasets into actionable information products and services used in commercial markets.
The Scepter system infrastructure consists of various atmospheric sensor platforms such as drones and satellites and a data analytics platform for processing sensor data into information.
The Scepter atmospheric sensor platforms and the analytics platform can be developed and deployed on incremental project by project basis.
Scepter system has the capability to evolve both with an initial build-up of different sources of sensor platform and later with the introduction of the Scepter satellite constellation. The initial sensor platforms can be local fixed terrestrial sensors through to local airborne platforms that feed the ScepterAir analytics platform for local projects. The later Scepter constellation provides sensor platforms that can provide global atmospheric data feeds to the ScepterAir analytics platform.
|Sensors||Data Aggregation||Fusion||Analytics and Machine Learning||Reporting & Visualization|
|Sensor Data Acquisition||Storage and Normalization||Fuse with Other Data (health, wind)||Personalization and Forecasting||Tools, Apps, APIs|
|Pre-Constellation||Real Time Feeds Existing Sensors Ground Deployments Drone Missions Regional Monitoring||Storage Sensor Analytics||Append with health Modalities and Sectors||Localization Personalization Sectorization||Mapping Apps|
|Post-Constellation||24 Satellite Constellation for 24X7 Global Monitoring||Normalize and triangulate data sources to increase accuracy, footprint, and track full air column||Append with wind and weather||Forecasting Cause and effect Machine Learning||3D VisualizationDetailed Site Studies|
Scepter information products are based on environmental datasets fused with other market data sets, and then further analytics performed on result to give final actionable information products or services.
The first part of the analytics process ingests atmospheric pollutant concentrations datasets for pollutants such as Aerosols, Ozone, and Nitrogen Dioxide. The second part involves fusing that data with market specific data sets that relate to wanted information for final user product or service.
An example of this is where atmospheric criteria pollutants concentrations datasets can be fused with health datasets to provide Health Alerts APPs.