Effectiveness evaluation method of high-orbit infrared remote sensing satellite

Yujun Wan; Jiangkun Wen; Wei Du; Shaoshuai ZhuanSun; Chen Ma; Changhai Liu

doi:10.1117/12.3009594

16 October 2023 Effectiveness evaluation method of high-orbit infrared remote sensing satellite

Yujun Wan, Jiangkun Wen, Wei Du, Shaoshuai ZhuanSun, Chen Ma, Changhai Liu

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128031J (2023) https://doi.org/10.1117/12.3009594
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

A study has been conducted on the effectiveness assessment methods of high-orbit infrared remote sensing satellites, and by analyzing the difficulties in evaluating the effectiveness of the complex star-ground system of the “human-in-the-loop”, an assessment criterion centered on the degree of mission accomplishment has been proposed. Drawing on the concept of equipment technology maturity and grading, and combining practical experience, an efficiency assessment model has been established around the construction of mission scenarios of different grades, and a class of assessment processes and assessment methods have been developed and provided as samples. A calculation method based on system reliability, repairability and availability is proposed for the comprehensive assessment of mission completion, which can improve the current assessment method in practical application. A generic quantitative method for evaluating the effectiveness of the system based on the unfulfilled or unintended tasks is investigated, which can effectively reflect the bottleneck capacity of the system and support the subsequent optimization and improvement of the system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yujun Wan, Jiangkun Wen, Wei Du, Shaoshuai ZhuanSun, Chen Ma, and Changhai Liu "Effectiveness evaluation method of high-orbit infrared remote sensing satellite", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128031J (16 October 2023); https://doi.org/10.1117/12.3009594

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KEYWORDS

Satellites

Design and modelling

Infrared radiation

Infrared sensors

Remote sensing

Target detection

Reliability

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