Abstract: During the “14th Five-Year Plan” period, the number of satellite equipment development tasks is increasing year by year, and the satellite equipment becomes increasingly more complex. To improve the traditional way of designing satellite equipment based on experience and solve the problems such as low standardization of satellite equipment design database, poor data inheritance, poor data life cycle coverage, low interaction rate between production test/operation data and original data, which results in low design efficiency, high development cost, and difficult maintenance and upgrading, this paper proposes an intelligent design method for satellite equipment based on digital twins. According to the size, load and characteristics of satellite equipment, the database consisting of satellite load conditions, satellite equipment function modules, production inspection and test modules, and operation and maintenance modules is summarized. According to the satellite size, interface, load and other conditions, the twin satellite equipment digital function module is driven according to the calculation rules, and is automatically assembled into a twin model. According to some special conditions of the load, the digital twin model function module is intelligently adjusted, and the twin model calculation results, equipment physical verification results and the current twin digital model can be compared, iterated and modified to continuously improve the accuracy of the twin digital model. Through the twin model full life cycle data monitoring, the physical maintenance and transformation information can be synchronously mapped to the twin model in real time, which further improves the design efficiency of satellite equipment, shortening the development cycle and reducing the development cost.

Key words: satelliteequipment, intelligentdesign, digitaltwins, twinmodel, spaceflight, fulllifecycle