Due to the increasing bandwidth requirements and network size and complexity of optical communication transmission, data transmission paths have more selectivity, which can easily lead to high energy consumption and low efficiency of routing. Cloud computing platforms can provide massive computing resources and storage space, and can handle large-scale datasets. Therefore, based on cloud computing intelligent embedded technology, a type of optical communication network routing is studied. Design the signal conversion, encoding, decoding and other functions of optical communication networks using embedded technology, and establish a network routing energy consumption model based on the energy consumption characteristics of data transmission and network nodes; Introduce ant colony algorithm and find all routes that can achieve data transmission based on the principle of ant foraging; Using genetic algorithms, the best route for data transmission among these routes is identified through selection, crossover, and mutation calculations, that is, the route with the least energy loss. The experimental results show that the proposed technology can improve data transmission speed, achieve a packet loss rate below 3.0%, and a communication delay of only 23 ms, reducing the energy consumption of data transmission network nodes, confirming the good routing communication performance of the proposed method.