Neuraspace Creates Intelligent Traffic Management Solution for Satellite Constellations – Parabolic Arc

The scales of the space debris problem (Credit: ESA)

Neuraspace’s advanced satellite collision avoidance and space debris monitoring system is already being tested by some of the largest satellite operators.

The product is aimed at satellite operators, insurers, regulators and policy makers.

COIMBRA, Portugal (Neuraspace PR) — Neuraspace, a Portuguese start-up that is developing an advanced system for monitoring and avoiding collisions in space, announced that its product will be available on the market from today.

After raising 2.5 million euros from investors in Portugal, Neuraspace is now taking a decisive step with the provision of a solution already used by satellite operators who plan to significantly increase the presence of their satellites in space.

There are currently around 8,000 satellites in orbit. of which only approx. 6,000 are operational. In 2021, 1,778 satellites were launched into space. This number will only increase as space traffic and space debris become an impediment to the evolution of space technologies that becomes ineffective and costly if left unaddressed. The ESA mentions that around 31,380 pieces of debris are currently tracked regularly, with more than 630 ruptures, explosions, collisions or anomalous events leading to fragmentation.

Current solutions for identifying and classifying collision probabilities and defining evasive maneuvers rely heavily on manual processes. With the increasing number of space objects, both active satellites and debris, the effort that must be invested by operators increases exponentially, making operations costly and with increasing risk of misclassification and misclassification. ‘human error. In addition, adequate pricing of insurance premiums is increasingly difficult because the assessment of risk exposure is complex and subject to many unknowns, making it difficult for insurers to adequately address risk. faced by operators.

Traditional approaches face several challenges: insufficient data; high number of false alarms and high uncertainty, and lack of scalability.

All this leads to unnecessary costs that disturb the operations and the viability of the company. In a Euroconsult report from 2020, it is reported that an emergency maneuver in LEO can cost 25k€ for a single satellite. A constellation of 300 satellites can receive around 580 alerts per year requiring human intervention and maneuvering of the satellites, costing €14 million per year in personnel costs, analysis work, infrastructure, etc. The same Eurocosult report states that “[a]n The Iridium satellite was involved in a collision in 2009, resulting in the complete loss of the satellite. A replacement satellite was in orbit, but when two Iridium satellites were damaged in 2014, the entire constellation did not operate at full capacity for over 400 days, resulting in a loss of revenue of over $8 million. dollars. [Commercial Space Surveillance and Tracking, Euroconsult Report, March 2020].

This is where Neuraspace comes in: the Neuraspace platform is an automated end-to-end SaaS (Software as a Service) solution built on three key pillars allowing the satellite to be more accurate in detecting high-risk collisions and reducing human intervention by up to 75%:~

(1) Data Fusion: A persistent and reliable data source for better characterization of conjunction events by reducing uncertainties relies on collecting and merging large amounts of data from different sources into a coherent data warehouse. This repository includes: space debris images, CDMs, ephemeris files, state vectors from established catalogs and satellite owners, space weather forecasts and forecasts, and managed asset information .

(2) Artificial Intelligence (AI) and Machine Learning (ML): ML models can automatically detect patterns from complex data and learn how the data is related. Artificial intelligence leverages big data to provide better predictions for risk mitigation.

(3) Maneuver Automation: AI-powered, 24/7 automated end-to-end collision risk prediction with informative insights and smart maneuver suggestions based on constraints and priorities of the operator, provides operators with comprehensive support throughout the risk mitigation process.

As the space economy grows from over $300 billion to $1 trillion in the years to come, the system developed by Neuraspace is a cornerstone to secure this growth.

According to Chiara Manfletti, Chief Operations Officer (COO) at Neuraspace, “This is a very important step because we are validating in the market a technology that has been developed to help unlock the extraordinary value of the space economy, which will become more efficient and sustainable.We believe that Neuraspace’s solution will be a benchmark for artificial intelligence and machine learning technology in the global aerospace market.

About Neuraspace

Neuraspace was created in 2020 with the aim of combating space debris using artificial intelligence. The company has developed an advanced space debris monitoring and satellite collision avoidance platform with artificial intelligence.

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