Image　analysis　of　rock　chips　is　an　important　approach　for　TBM　intelligent　tunneling,　and　it　can　be　used　for　real-time　evaluation　of　rock-breaking　efficiency　and　optimization　of　tunneling　parameters.　In　order　to　investigate　the　relationships　between　TBM　tunneling　parameters　and　rock　chip　characteristics,　a　multi-step　field　tunneling　test　was　carried　out　in　an　intact　granite　formation　at　a　TBM　construction　section　of　Qingdao　Metro　Line　6.　A　rock　chip　image　acquisition　system　was　installed　on　the　TBM　to　real-time　collect　rock　chip　images.　Then,　the　relationship　between　the　tunneling　parameters　and　the　size　and　shape　characteristics　of　rock　chips　obtained　through　image　processing　was　analyzed.　The　results　showed　that　the　median　particle　size　d50,　maximum　particle　size　dmax　and　roughness　index　CI　all　present　a　positive　correlation　with　thrust,　torque　and　penetration,　while　a　good　negative　correlation　with　FPI　and　SE.　When　the　thrust　exceeds　a　critical　value　for　rock-breaking,　the　increase　in　thrust　will　significantly　increase　d50　and　CI,　while　dmax　increases　significantly　only　when　the　thrust　exceeds　a　larger　value.　Besides,　as　the　thrust　increases,　the　shape　of　the　large　rock　chips　gradually　becomes　flattened　and　the　aspect　ratio　increases.　However,　after　the　thrust　reaches　a　certain　level,　the　aspect　ratio　will　remain　stable.　The　results　can　provide　a　basis　for　real-time　optimization　of　TBM　tunneling　parameters　based　on　rock　chip　information.