The invention discloses a
wind power plant work
ticket identification method and
system based on multi-
task learning, and the
system comprises a multi-
task learning module, a
signal fusion module and a real-time blocking module, and a task specific layer of the multi-
task learning module comprises
ticket face verification, operation step identification and process compliance inspection. The
signal fusion module is used for associating
equipment state monitoring signals in the work
ticket based on the safety operation step sequence in the work ticket and judging whether all signals and change sequences meet the safety operation sequence in the work ticket or not; and the real-time blocking module outputs a real-time
decision taking suggestion to centralized control personnel based on the equipment
signal verification result, and meanwhile, the control interface directly transmits a blocking signal to the
station equipment. According to the method, the work ticket text instruction and the real-
time signal of the field equipment are brought into a unified
verification framework for the first time, cross-
modal fusion of multi-source signals is realized, the industrial problem that the ticket surface is compliant but is not actually executed is solved, and the method has the function of strong blocking of a
safe operation chain.