Concerning the low efficiency of serialized execution in database instance recovery and relying on ShenTong database, a parallel instance recovery method based on multi-thread was proposed. First, two steps including "building dirty page table" and "prefetching dirty pages" were added to the original database instance recovery model to get an improved model. Second, the improved model was processed by the multi-threaded parallel processing way and a parallel instance recovery model was generated. Finally, by using rollback segment management strategy, undo log was managed as normal data and the parallel instance recovery could be finished earlier. In the comparison experiments with the original method, Transaction Processing performance Council-C (TPC-C) benchmark test result of the parallel recovery method showed that the efficiency of reading and parsing redo log increased by 2-7 times, the efficiency of redoing increased by 4-9 times, and the total time for recovery reduced to 20%-40%. The results prove that the parallel instance recovery method can accomplish parallel processing of each stage, reduce the time needed for recovery and ensure the high efficiency of database in practical applications.