Abstract: In view of the complexity of underground mine network system，how to realize the low delay and high rate transmission of big data information collected，the underground mine network model was described mathematically by constructing the WDM optical network defined by underground mine software and based on the central master control network.Blocking probability of branch network service was reduced by minimizing the use of wavelength index， and the load capacity of branch network was optimized.Through numerical simulation analysis of the maximum capacity of priority，the shortest distance and maximum capacity/hop preference 3 kinds of routing and wavelength assignment algorithms of large capacity，numerical results show that the central control network of underground mines can improve the carrying capacity of big data information and the utilization efficiency of network spectrum resources.The feasibility and effectiveness of the proposed algorithm for large capacity routing and wavelength assignment were verified.The study results show that compared with SDF and MCF algorithm，MCHF algorithm has a lower blocking probability.Therefore，the adoption of underground mine central master control network transmission can not only meet the carrying capacity of big data collected from underground mines and the utilization efficiency of network spectrum resources，but also ensure the low cost， low delay and high rate transmission of the collected big data information.

Key words: underground mines, software-defined networking, wavelength division multiplexing optical network, routing and resource allocation algorithms