Power distribution network equipment demand prediction and quantitative method and system

The invention provides a power distribution network equipment demand prediction and quantitative method and system. Based on history demand condition, current equipment amount, equipment reliability and equipment running climatic environment factor quantized data of the power distribution network equipment, demand per month of distribution network repair materials is predicted by an SVM (support vector machine). According to fund occupation condition of the power distribution network to the equipment, the power distribution network equipment is divided into core equipment and important equipment by the aid of the primary and secondary analytic method, and spare part safe stock and target stock levels of the power distribution network equipment are determined in the phase review way and the fixed order batch way, thus the power distribution network equipment is quantified. The quantitative data is more accurate and reliable and applicable to power distribution network material reserve quantity determination process, in this way, overstocked products are reduced, and material reserve efficiency and duration is improved, so that safety and economy of the power grid production are guaranteed, and utilization rate is enhanced.