Component Material Prediction Model Based on Deepening Application of Power Distribution Network Infrastructure Data

The component materials are important resources to ensure the daily operation of power distribution network, and their effective allocation is of great significance for power distribution network. Based on the historical consumption quantity and proportion of various materials in power distribution network and guided by the concept of operation life cycle, a model is established to evaluate and predict the material demand of the network under different operation states, which can improve the rationality of material allocation in the operation support process of power distribution network. The existing material allocation methods mainly need to completely rely on the actual situation on site, and carry out a series of process including query, association, analysis, and delivery, such operation is relatively passive, which often reduce the allocation efficiency. In this paper, through the modeling of historical data, and using two indicators such as the relative operation level and relative technical level of certain component in power distribution system, the reasonable prediction of material allocation of power grid networks. The prediction of material requirements given by the proposed model can be used as an important reference for the “predictive” support of distribution network operation, and has good portability.