  With the advent of large-scale astronomical surveys such as the Zwicky
Transient Facility (ZTF), the number of alerts generated by transient, variable
and moving astronomical objects is growing rapidly, reaching millions per
night. Concerning solar system minor planets, their identification requires
linking the alerts of many observations over a potentially large time, leading
to a very large combinatorial number. This work aims to identify new candidates
for solar system objects from massive alert data streams produced by
large-scale surveys, such as the ZTF and the Vera C. Rubin Observatory's Legacy
Survey of Space and Time. Our analysis used the Fink alert broker capabilities
to reduce the 111,275,131 processed alerts from ZTF between November 2019 and
December 2022 to only 389,530 new solar system alert candidates over the same
period. We then implemented a linking algorithm, Fink-FAT, to create real-time
trajectory candidates from alert data and extract orbital parameters. The
analysis was validated on ZTF alert packets linked to confirmed solar system
objects from the Minor Planet Center database. Finally, the results were
confronted against follow-up observations. Between November 2019 and December
2022, Fink-FAT extracted 327 new orbits from solar system object candidates at
the time of the observations, over which 65 were still unreported in the MPC
database as of March 2023. After two late follow-up observation campaigns of
six orbit candidates, four were associated with known solar system minor
planets, and two remain unknown. Fink-FAT is deployed in the Fink broker and
successfully analyzes in real time the alert data from the ZTF survey by
regularly extracting new candidates for solar system objects. Our scalability
tests also show that Fink-FAT can handle the even larger volume of alert data
that the Rubin Observatory will send.
