Construction of a Unified Ground-based Control Complex for a Multi-satellite ERS Constellation
Bibliographic record
Abstract
Taking into account the increasing number of spacecraft the further development of the Russian ground-based control systems (GCS) for Earth remote sensing spacecraft requires new approaches to solving the problems of increasing the efficiency and global control of these spacecraft. The paper considers the possibility of creating a unified ERS GCS (ERS UGCS), including the existing ERS GCS and providing control capabilities for promising, newly created ERS SC. As part of the ERS UGCS, a single control center should be created that provides modeling, planning, analysis and control of future and existing spacecraft constellations and ground-based facilities. Using international experience in managing multi-satellite constellations and implementing our own experience in creating special software for the control centers, for new spacecraft constellations, it is proposed to automate the tasks of a typical regular control cycle, automate periodic maintenance operations of the spacecraft and localize emergency situations. With the aim of automating control processes, the creation of a digital mathematical model of the orbital constellation and ground-based facilities is also proposed for Russian remote sensing constellations. A model that takes into account and describes the spatio-temporal position of the spacecraft constellations, the location of the GCS, ground based data receiving processing and distribution complexes, multifunctional relay stations (MFRS), their technical condition, composition and performance should form the basis for the implementation of end-to-end planning of the main control operations and the targeted use of multi-satellite constellations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".