For traditional algorithms

activities are treated as events that are independent from each other and cannot be accurately identified

we propose a workflow task recognition algorithm based on intelligent programming

which utilizes the commonality of workflow and intelligent planning in the implementation of sequence and operation rules. Through the high-level abstract description

we can deduce the intrinsic logic relation between them automatically

and also explore potential knowledge from outside information

and transform the workflow task recognition problem into the corresponding planning recognition problem

and solve the problem that the traditional algorithm is difficult in recognition and sensitive to the noise data. Experimental results show that our algorithm is feasible.