Abstract: In order to accurately monitor the nodes of the intelligent power communication network, more precisely grasp the operation state of the power grid, and realize efficient and accurate scheduling of data traffic when the data traffic increases sharply, a collection data traffic scheduling method for the intelligent power communication network is proposed in this paper based on low-channel LiDAR. First, the nodes of intelligent power communication network are scanned by low-channel LiDAR technology, extracting their point cloud characteristics, and the structure of intelligent power communication network is constructed based on the obtained information. Then, according to the network structure the packet loss rate and data transmission delay are analyzed, and it is concluded that the key factors in data traffic scheduling are the number of hops and queue traffic load. Finally, a data traffic scheduling scheme is formulated to dynamically solve the optimal directed edge weights considering the number of hops and traffic load rate, so as to realize dynamic data traffic scheduling. Experiments show that the proposed method can accurately monitor the key nodes of the smart power communication network. Through scheduling simulation, gateway 4 undertakes more data transmission tasks at 10 s~25 s, which verifies the efficiency and accuracy of the proposed method. The proposed method can effectively reduce the congestion risk and ensure the stable operation and efficient data transmission of the smart power communication network.