For the fact that existing map updating methods are not good at map updating in indoor map environments, a hierarchical indoor map updating method was proposed. Firstly, the activity of indoor objects was taken as a parameter. Then, the division of hierarchy was performed to reduce the amount of updated data. Finally, a Convolutional Neural Network (CNN) was used to determine the attribution level of indoor data in network. The experimental results show that compared with the version update method, the update time of the proposed method is reduced by 27 percentage points, and the update time is gradually reduced compared with the incremental update method after the update item number is greater than 100. Compared with the incremental update method, the update package size of the proposed method is reduced by 6.2 percentage points, and its update package is always smaller than that of the version update method before the data item number is less than 200. Therefore, the proposed method can significantly improve the updating efficiency of indoor maps.

To deal with the problem of the locomotive's dynamically wireless access to transmission network in the mine locomotive unmanned system, the Successive Interference Cancellation (SIC) region partition strategy was proposed. Firstly, the nonlinear region partition model was constructed in the Access Point (AP) communication coverage. Secondly, based on the theoretical derivation, the relationship between the number of region partitions and the AP communication coverage, and the relationship between the locomotive position and the transmission power were found. Finally, SIC region partition strategy was designed. The simulation results show that SIC region partition strategy can make one AP access three locomotives at the same time, and the overall optimization effect of locomotive's total passing time and AP coverage utilization increases at least 50%.