R&D of an Intelligent Estimation System for Internal Field Radiation of Low Earth Orbit Satellites

When low orbit low earth orbit satellites operate in orbit, they are affected by various internal and external factors, such as solar radiation, Earth's magnetic field, atmosphere, etc. These factors can cause changes in the internal field of low Low-earth orbit satellites, thereby affecting their radiation performance. To ensure the normal operation and application of low orbit satellites, it is necessary to accurately evaluate their endogenous field radiation. However, traditional evaluation methods often rely on empirical formulas and manual calculations, which have problems such as complex calculations, low accuracy, and long time consumption. Therefore, studying the intelligent estimation system for endogenous field radiation of low orbit satellites is of great significance.

Rich Full Joy Technical Solution

1.Using sensors carried by low orbit satellites, real-time internal field radiation data is collected, and the collected data is processed through filtering, denoising, normalization, and other processes. The processed data is then subjected to feature extraction such as time series analysis and spectral analysis.

2.Using radiation field modeling technology to establish a mathematical model of the internal radiation field of satellites, predicting and estimating the distribution of radiation fields at different positions within the satellite through simulation and calculation, providing a basis for radiation field risk assessment and management.

3.Using intelligent algorithms and data processing techniques to intelligently process and analyze monitoring data and modeling results, achieving intelligent estimation and early warning of radiation fields.

4.Using onboard processing technology to receive satellite multi-source payload data and perform information fusion processing on it, achieving online detection, accurate identification, and continuous tracking of targets under massive data in all detection scenarios, providing support for the autonomous scheduling and application of satellites, target position determination, and rapid information application.

5.Using phased array antennas to control the phase and amplitude between unitsto achievebeam orientation and control, thereby achieving multi beam coverage and signal processing.

Rich Full Joy Innovative Points

1.The project can fuse radiation data from different sensors and monitoring equipment through multi-source data fusion technology to improve the accuracy and reliability of radiation estimation.

2.This project has real-time monitoring and early warning functions, which can monitor and analyze radiation data in real time, detect radiation anomalies and changes in a timely manner, and provide early warning of possible faults and failure risks.

3.This project achieves data sharing and interaction between different modules through system integration, improving the overall performance and reliability of the system.

4.This project utilizes advanced mathematical modeling and simulation techniques to automatically model the internal radiation field of satellites, reducing manual intervention and improving modeling efficiency.

Issues addressed by Rich Full Joy

1.Solvedhow to accurately collect data on the internal radiation field of satellites, and effectively process and analyze a large amount of data to extract useful information and make accurate estimates.

2.It is necessary to effectively integrate and optimize various technical modules, build a stable and efficient system architecture, to ensure the overall performance and reliability of the system.

4.Equipped with real-time monitoring and rapid warning functions, it can promptly send alerts to relevant personnel when abnormal situations are detected to avoid the impact of radiation on satellite systems.

5.Realize real-time monitoring and intelligent estimation of the internal radiation field of satellites, improving the accuracy and precision of monitoring.

6.Able toachieve accurate evaluation and analysis of radiation fields, helping optimize satellite structures and electronic device layouts.