Abstract: This paper introduces the development and current situation of distributed parameter system control, and analyzes the limitations of existing control methods. With the increase in control requirements, social factors need to be considered, which increases the diculty of modeling and control. In the premise of the rapid development of the network, with big data and cloud computing technology as the background, based on the control theory and method of large scale calculation, the parallel control is introduced into the control of distributed parameter system. Parallel control is a method of performing tasks through interaction between the virtual and the real. The core is to model the complex distributed parameter system through artificial system, analyze and evaluate it by using the computational experiment, and finally implement the control and management of the distributed parameter system by parallel execution. This method combines data-driven control and computational control, and adapts to the rapid development of society.