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Multi-constraint Optimization Analysis Method of Low-Cost Cargo Transportation System Based on MBSE

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Signal and Information Processing, Networking and Computers (ICSINC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1187))

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Abstract

As the commercial cargo transportation system of the International Space Station becoming increasingly mature, with the development trend of foreign commercial cargo ships and the current situation in China, the development of cost-effective, small tonnage economic cargo spacecraft, can be used as a necessary and beneficial supplement for China Space Station. The MBSE method and SysML provide system engineers with a rich means of system design and cost analysis under parameter constraints. The Model Based System Engineering (MBSE) tool is utilized to establish a demand analysis model for the low-cost cargo transportation system of the space station. The use cases, task stakeholders, functional implementation and parameter constraints of the low-cost cargo transportation system is analyzed, to obtain the cost of different equipment supporting through the cost estimation model, and confirm the advantages and disadvantages between different designs by comparing the total mass, total power and total cost. The “economical returnable cargo spaceship” scheme with the best comprehensive evaluation was obtained.

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Acknowledgment

This work was partially supported by independent research and development project YF-ZZYF-2022–132 of CASC.

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Correspondence to Pan Weizhen .

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Weizhen, P., Sheng, Y., Yafeng, Z. (2024). Multi-constraint Optimization Analysis Method of Low-Cost Cargo Transportation System Based on MBSE. In: Wang, Y., Zou, J., Xu, L., Ling, Z., Cheng, X. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2023. Lecture Notes in Electrical Engineering, vol 1187. Springer, Singapore. https://doi.org/10.1007/978-981-97-2120-7_12

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  • DOI: https://doi.org/10.1007/978-981-97-2120-7_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2119-1

  • Online ISBN: 978-981-97-2120-7

  • eBook Packages: EngineeringEngineering (R0)

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