Research on the Construction of Land Whole Life Cycle Supervision Platform with Spatio-Temporal Big Data
In order to solve the problems of complex and diverse data formats,insufficient construction and sharing among land related departments,and the inability of supervision to balance the entire land life cycle business management process and real-time dynamic multi-channel resulting in low land use efficiency,this paper proposes a set of land supervision system integrating spatio-temporal big data from data to model to application.First,the land system based on spatio-temporal big data was sorted out and constructed,four data governance methods to build a unified data base were proposed and the whole life cycle supervision model and a real-time super-vision model were designed,and the land whole life cycle supervision platform was developed and applied to actual business manage-ment,effectively identifying management anomalies and pushing early warning information.This system realizes real-time business early warning and spatio-temporal big data analysis monitoring auxiliary early warning throughout the entire life cycle of land transfer,shifting from single supervision to comprehensive supervision with automatic push of dynamic monitoring throughout the entire process,and can be widely applied in the field of land management in various cities.
land supervisionspatio-temporal datadata governancewhole life cycle
NETL
NSTL
万方数据
