RPA robot optimization deployment method and system based on process mining

The invention discloses an RPA robot optimization deployment method and system based on process mining, and the method comprises the steps: obtaining basic data, namely mining a time Petri net model from an event log, and extracting the duration information of all activities; taking the basic data as input, calculating to obtain an ideal key process path and a stable key process path of the process, and then identifying a key activity; the key activities are sorted according to the duration, the key activity node with the longest duration is preferentially selected as the deployment node of the RPA robot, parameter configuration information is input, and deployment of the RPA robot is completed; and updating the flow information after the deployment is completed, and when the total execution time of the flow reaches the expected time or the total deployment cost exceeds the cost constraint, terminating the deployment to obtain the final flow information, otherwise, continuing to select the active node to depl