Abstract: Hydrogen production from offshore wind power is an effective means to realize the complete absorption of offshore wind power and the low-carbon economic operation of integrated energy systems. Aiming at the problems of high uncertainty of offshore wind power output, low system economy, and high carbon emission due to the relatively simple hydrogen energy utilization mode, this paper proposes a low-carbon optimization operation strategy of an integrated energy system based on data-driven split blu rod and convexity relaxation technology including hydrogen production from offshore wind power. Firstly, by studying the operation mechanism of hydrogen production from offshore wind power and hydrogen transport system, the mathematical model of offshore wind power hydrogen production system and hydrogen energy multiple conversion and utilization is established. Secondly, a source-load uncertainty model is constructed based on Wasserstein distance and data-driven, taking the lowest comprehensive cost as the objective function. In addition, the strong duality theory is used in this paper to convert the original model into a mixed integer linear programming model, and the model can be solved quickly and accurately. Finally, the integrated energy system composed of IEEE-33-node power grid and 23-node heat network is simulated and analyzed. The simulation results show that the proposed model can effectively improve the system's wind power consumption level and energy utilization efficiency, and has significant low-carbon economic benefits.