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The pipe network robot path and data station deployment joint optimization method disclosed by the application belongs to the technical field of smart city infrastructure operation and maintenance, and specifically comprises the following steps: firstly, a pipe network-robot-data station system model is constructed, and the pipe network topology is mapped into an undirected graph; secondly, combined with EPANET hydraulic simulation data, the pipe monitoring time is calculated under the conditions of downstream flow and upstream flow, and a hybrid graph with time weight is constructed; then, a weighted optimization mathematical model with the double objectives of minimizing the maximum monitoring time and minimizing the maximum data delay is established, and constraint conditions such as pipe full coverage and robot collision-free are defined; finally, the NSGA-II algorithm is used to generate a Pareto frontier, and the best compromise scheme is selected through weight distribution. The application solves the technical problems that the robot path planning and data station deployment lack cooperation in the existing pipe network monitoring technology, and the pipe network hydraulic characteristics are not coupled, so that the monitoring time and data delay are difficult to consider.