Aiming at the problems of data loss, retransmission and invalidity in urban wireless meter reading system, a new WSN clustering routing algorithm for urban meter reading system is proposed. Firstly, this algorithm makes an overall analysis of the urban meter reading system, establishes the system model and analyzes the main functions of each part. Then, in the clustering stage, the chaotic quantum particle swarm algorithm is used to obtain a better coverage rate of sensor nodes, improve the search efficiency of the algorithm and find the global optimal solution. Finally, the high-performance network transmission path selection model is established, and the network delay reliability and delay are weighted. The path selection mathematical model is established, and the path is solved to complete the inter-cluster communication. Through a large number of simulation experiments, this algorithm can effectively balance the energy consumption of the entire network and improve the real-time and reliability of data transmission in the power communication network.