I. Introduction
In the field of deep-sea oil and gas field development, the installation and maintenance of underwater production facilities in deep-sea environment lacks engineering experience due to the complex and changeable environmental factors [1]. In view of this situation, the virtual reality simulation system for subsea production process of oil and gas independently developed by China University of Petroleum (Beijing) mainly simulated the installation, operation and production of underwater production facilities. Under the conditions of low cost and low risk, operators could rehearse, operate, train and evaluate the equipment installation and maintenance schemes in a virtual environment to overcome this problem. In such a large-scale simulation system, huge back-office data support is often required. The server where the data is collected not only collects a large amount of data in real time during the simulation run, but also cannot cause the problem of data frame loss. However, due to the large amount of data and fast collection speed during the data collection, the utilization rate of CPU(Central Processor Unit) will be too high, which will slow down the operation and cause the operation to be extremely slow or even crash. Therefore, the distributed load balancing data collection technology introduced in this paper avoid the above problems and improve the performance of this virtual reality simulation system.