Mass evaluation algorithm and maintenance key technology of reflector unit about FAST

SONG Liqiang; LI Hui; YANG Lei; YANG Qingge

doi:10.16511/j.cnki.qhdxxb.2022.26.036

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Journal of Tsinghua University(Science and Technology) ›› 2022, Vol. 62 ›› Issue (11) : 1833-1838. DOI: 10.16511/j.cnki.qhdxxb.2022.26.036

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Mass evaluation algorithm and maintenance key technology of reflector unit about FAST

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Abstract

Reflector unit of five-hundred-meter aperture spherical radio telescope (FAST) has many characteristics, such as many types, high precision, large number of components, complex structure and difficult to maintain. In order to solve the technical problems of reflector unit quality evaluation and efficient maintenance, this paper introduced the reflector unit component parameter factor, created the reflector unit pace mathematical model, developed the reflector unit mass evaluation algorithm, and obtained the element mass of all reflectors. The results show that there are 4 300 pieces of 187 types of triangular reflector units, the mass distribution range is 427.34~480.69 kg, and the sum of the mass is 1 952.67 t. There are 150 quadrilateral reflector units of 15 types, the mass distribution range is 379.74~974.58 kg, and the sum of the masses is 99.32 t. An innovative cable maintenance system of 500 m full span with full coverage of reflector has been developed. The key technical problems of complex boundary and efficient maintenance of reflector have been solved. High efficiency maintenance work such as replacement of damaged units, target update and node disk rust removal and coating has been completed. This achievement has great significance for evaluating the total mass of FAST reflector units, improving the reflector maintenance technology and methods, and ensuring its normal operation.

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FAST / reflector unit / mass algorithm / maintenance technology

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SONG Liqiang, LI Hui, YANG Lei, YANG Qingge. Mass evaluation algorithm and maintenance key technology of reflector unit about FAST[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(11): 1833-1838 https://doi.org/10.16511/j.cnki.qhdxxb.2022.26.036

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