info@industrialsciences.com.au

Products

TRACER

TRACER (Tools for Risk Assessment & Uncertainty Quantification) is a space mission analytics toolkit to reduce uncertainty and risk of complex space missions in LEO, lunar & cis-lunar space.

  • Satellite Tracking Analysis
  • Ground Station Characterisation
  • Trajectory Simulation
  • Low Thrust Simulation
  • Lunar Lander Simulation

For more details, see fact sheet here.

PREDICTER

PREDICTER (Predictive Resource for Estimating Data In Complex Time-series) is a time-series prediction tool that shows operators the future behaviour of telemetry data, in order to foresee problems and make informed decisions in real-time.

  • Detects trends and noise levels in time-series data to forecast future behaviour
  • Warns operators if a certain parameter will exceed safety thresholds in the near future
  • Helps operators to maintain a specified test environment and ensure safety-of-flight
  • Finds correlations normally hidden through visual inspection of time-series graphs

For more details, see fact sheet here.

MDSS

MDSS (Manoeuvre Decision Support System) assists satellite operations in conjunction assessment and manoeuvre planning by using a meaningful and intuitive metric.

  • Accurate predictions of collision
  • Action advice for satellite operators
  • Support alert prioritization
  • Collision avoidance options
  • Algorithm trained on NASA data

For more details, see fact sheet here.

TASKER

TASKER is a toolkit for the optimizing scheduling and tasking of multiple sensors for tracking many objects.

  • Automated sensor scheduling
  • Reduce sensor idle time
  • Automated maintenance of object catalogue
  • Maximized sensor utility

For more details, see poster here.

Kalman Filtering

Kalman filtering is a statistical technique used in several of ISG’s toolkits for performing optimal estimation of parameters. It allows for several capabilities:

  • Data fusion of different sensor types
  • Precise estimation of unknowns (e.g. orbital parameters) from noisy observations
  • Estimation of parameters that may not be directly observable (e.g. clock & sensor biases)
  • Time-series trend detection and forecasting

For more details, see fact sheet here.