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EUROPEAN SPACE RESEARCH AND TECHNOLOGY CENTRE has floated a tender for Onboard Data Handling Sub-System for Autonomous Satellites. The project location is Netherlands and the tender is closing on 11 Oct 2024. The tender notice number is 1-12227, while the TOT Ref Number is 103459866. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : Netherlands
Summary : Onboard Data Handling Sub-System for Autonomous Satellites
Deadline : 11 Oct 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 103459866
Document Ref. No. : 1-12227
Financier : Other Funding Agencies
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Tenders are invited for Onboard Data Handling Sub-System for Autonomous Satellites (Artes at 4g.044).
Open Date: 28/06/2024 09:41 CET
Closing Date: 11/10/2024 13:00 CET
Price Range: 500 KEURO
The objective is to develop an onboard data handling architecture capable of autonomously acquiring, processing and interpreting housekeeping and telemetry data and taking the required actions without ground intervention. The activity will develop a data handlingsub-system demonstrator to validate the intelligent functionalities, including prognostic and health management (PHM) capabilitiesTargeted Improvements: Enabling technology development for future fully autonomous satellites which are capable to operate independently, without the need of immediate operator intervention.Description: Current satellite operations are centred around human interactions from ground, which results in considerable inefficiencies. Limited windows of communication with the satellite, latency, and resource-limited ground infrastructure are the main reasons for the inefficiencies, which become more prominent for large constellations of satellites. This activity reduces the dependence of the spacecraft on ground stations by developing an intelligent onboard data handling architecture, using Artificial Intelligence (AI) to autonomously process, interpret housekeeping and telemetry dataand take decisions on needed actions in real-time. This is considered an essential capability for management of future satellite constellations
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