{"id":8788,"date":"2023-03-16T23:08:25","date_gmt":"2023-03-16T15:08:25","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/neuraspace-introduces-machine-learning-prediction-plots\/"},"modified":"2023-03-16T23:08:25","modified_gmt":"2023-03-16T15:08:25","slug":"neuraspace-introduces-machine-learning-prediction-plots","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/neuraspace-introduces-machine-learning-prediction-plots\/","title":{"rendered":"Neuraspace Introduces Machine Learning Prediction Plots"},"content":{"rendered":"

\"Neuraspace<\/p>\n

Neuraspace, a European-born global leader in space traffic management (STM), has introduced \u201cMachine Learning Prediction Plots\u201d, giving satellite and satellite constellation operators a tool for earlier collision avoidance planning.<\/p>\n

As a first in the space industry, the latest addition to Neuraspace\u2019s STM software, using artificial intelligence (AI), enables operators to decide several days earlier whether to proceed with the available data or wait for additional data before making preparations for a collision avoidance manoeuvre. It gives them the means to decide if the data is good enough to make a decision.<\/p>\n

As a result, operators, in particular those operating constellations with dozens or hundreds of satellites, have more decision time and can extend their satellite’s lifespan by saving valuable fuel and avoiding unnecessary manoeuvres.<\/p>\n

Chiara Manfletti, director and chief operating officer of Neuraspace, said: \u201cNeuraspace is the first STM company introducing \u201cMachine Learning Prediction Plots\u201d. Until now, no space traffic management tool was capable of making such an important forecast.<\/p>\n

\u201cSatellite operators already receive a deluge of alerts, most of them false, and therefore perform many unnecessary but costly manoeuvres. A 300-satellite constellation may receive about 580 alerts, requiring human intervention and satellite manoeuvres, per year. With an emergency manoeuvre in LEO costing about \u20ac25,000, this adds up to a staggering cost of \u20ac14 million per year. Saving some of these immense costs will make a huge impact.\u201d<\/p>\n

Neuraspace\u2019s \u201cMachine Learning Prediction Plots\u201d calculate the path and forecast possible positions of the objects involved in conjunction at the time of closest approach (TCA). Customers of the Portuguese company can access this information either through Neuraspace\u2019s API or its website application.<\/p>\n

Only made available last year, Neuraspace\u2019s advanced space debris monitoring and satellite collision avoidance system is already being tested by some of the biggest satellite operators in the world.<\/p>\n

\u201cWith the existing huge amount of space debris and the expected growth of space traffic in LEO, the future evolution of the space industry will become uncertain, inefficient, and costly if not addressed,\u201d Manfletti said.<\/p>\n