In-orbit Operational Pattern Monitoring Algorithms Based on LightGBM for Hard X-ray Modulation Telescope Satellite

The frequent switching of space hard X-ray sky survey and fixed-point observation schemes of HXMT (Hard X-ray Modulation Telescope) satellite requires real-time monitoring and identification for the satellite payloads in-orbit status. Manual monitoring according to the rules summarized by experts are used at present. Although the manual monitoring method is easy to execute and explicable, it consumes a lot of manpower and can not deal with the situation outside the rules flexibly. According to the real-time telemetry data of HXMT satellite, an in-orbit operation mode monitoring algorithm based on LightGBM is proposed in this paper. The in-orbit operational pattern monitoring is reduced to a multi-classification problem, and a discriminant model is constructed to efficiently judge the in-orbit operation mode of the satellite. On the premise of ensuring the accuracy of discrimination, the algorithm model is constructed very quickly, which liberates the monitoring personnel from the heavy rule judgment work and has high practicability. The experiments based on the real telemetry data show that the accuracy rate of the model is 99.9%, which can meet the requirement of in-orbit operation mode monitoring, and can provide references for HXMT satellite operation monitoring task.