Abstract
A data transmission delay compensation algorithm for an interactive communication network of an offshore oil field operation scene in severe weather is proposed. To solve the problem of unstable microwave signals and a large amount of noise in the communication network caused by bad weather, the communication network signal denoising method based on Lagrange multiplier symplectic singular value mode decomposition is adopted, and the communication network data denoising process is realized through five steps; phase space reconstruction, symplectic geometric similarity transformation, grouping, diagonal averaging, and adaptive reconstruction. Simultaneously, the weak communication signal is compensated after being captured, that is, the characteristics of the weak signal are enhanced. On this basis, the communication network signals are collected to obtain delay information, and the data transmission delay of the communication network is predicted using the neural network algorithm based on long-term and short-term memory; Based on the prediction result of transmission delay, the PID controller is used to calculate the transmission delay compensation amount of the communication network, and the calculation result of the compensation amount is input into the delay compensator to realize transmission delay compensation. The experimental results show that the algorithm can effectively improve the quality of data transmission in the communication network and has a good delay compensation effect to ensure real-time communication.