Aiming at the situation that some distribution networks can not collect the voltage phase angle information of all nodes, the visualization of the topology structure and line parameters of the distribution network is realized by mapping the physical system in a digital way through the analysis of the power and voltage data that can be obtained by the existing measurement equipment of the distribution network. To reach this goal, firstly, based on the measured data under multiple groups of time sections, a linear regression topology and line parameter identification model is established according to the power flow equation. The admittance parameters in the model are solved by the least square method. Considering the uncontrollable factors in the actual data acquisition process resulting in the loss of some data, the minimum variance is used to fill the missing data to ensure the integrity of the information. Secondly, a modified model is established, and the initial values of topology and line parameters are iteratively modified by the improved Newton?Raphson method to adjust the accuracy value of the topology structure and line parameters. Finally, the applicability of the approach is demonstrated by IEEE 33 node example.