According to the network big data monitoring, due to the lack of data support in the traditional poverty alleviation model, there are often problems such as difficult identification of poor people, slow operation of poverty alleviation work, high consumption of poverty alleviation resources, difficult supervision of poverty alleviation process, and poor poverty alleviation results. In recent years, Xianyang City has collected all the basic information of poor households by collecting data from provinces, local data and departments, which helps to achieve accurate poverty alleviation and give full play to the advantages of big data monitoring and construction.