import re
strings= ["95031B2\tR\tC01 N1 P93 R-- 12:39:18.540 08/05/20 0000002802 R  -                               No_barcode  FLC   F  LR    7.673353 sccm   Pt   25.288202 psig   FL  536.651917 sccm   EDC   0.000000 sccm   PQ    7.668324 sccm   QF  536.289246 sccm   QP   25.287605 psig   LLQ  -0.109524 sccm   HLQ   4.440174 sccm   CLF   1.429953 sccm   MF    0.000000 sccm   LF  100.000015 sccm   MQF   0.000000 sccm   LQF 100.000015 sccm   FPR  25.290846 psig \r\n", '5102060\tR\tC01 N1 P93 R-- 12:38:52.140 08/05/20 0000002801 FO -                               No_barcode \r\n']
pattern = ['(?P<time>\d\d:\d\d:\d\d.\d{3})\s',
           '(?P<date>\d\d/\d\d/\d\d)\s',
           '(?P<sno>\d{10})\s',
           '(?P<status>\w{1,2}).*?-',
           '\s*',
           '(?P<bcode>No_barcode|\W{20})',
           '(?:\s+',
           '(?P<type>\w{3}))?',
           '(?:.*?',
           '(?P<pr>Pt.*?\d*[.]?\d*\s[a-z]+))?'
           '(?:\s{1,3}',
           '(?P<fl>FL.*?\d*[.]?\d*\s[a-z]+))?'
           ]
rx = re.compile(r''.join(pattern))
for s in strings:
    m = rx.search(s)
    if m:
        print( m.groups() )