Actual population analysis method and system based on spatio-temporal data

Abstract

The invention provides an actual population analysis method and system based on spatio-temporal data. The method comprises the steps: compressing a large number of data with a common main body objectin spatio-temporal trajectory data into a data record based on an object normalization algorithm; aggregating a plurality of similar positions of the same main body object in the spatio-temporal trajectory data into the same position by using a place aggregation algorithm so as to form an object spatio-temporal library; and filtering the object spatio-temporal library based on a personnel stayingtype, extracting residents and passing personnel in the object spatio-temporal library, storing the residents and the passing personnel as a resident set and a passing personnel set, updating and storing the resident set every day, and counting the resident sets calculated every day to form a local actual population library. Compared with a traditional actual population analysis method, the methodhas the advantages that a data scale is greatly reduced, analysis efficiency and accuracy of massive spatio-temporal data are improved, and more accurate and timely automatic analysis of local actualpopulation is realized.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a real population analysis method and system based on spatio-temporal data. Background technique [0002] The management of the actual population is an important task of the grassroots police stations of the public security organs. It is the basis for the public security organs to implement social management functions and promote the maintenance of social stability. At present, the analysis of the actual population in various places generally relies on the grassroots police or community workers to collect and register households one by one. This model needs to consume a lot of manpower, material and financial resources, and there are many problems such as untimely updates, many omissions, incomplete information, irregular standards, and difficult inquiries. How to realize the automatic analysis of actual population through massive data such as time and space, and become a me...

AI Technical Summary

Problems solved by technology

[0004] (1) The accuracy of data analysis is poor. The traditional method of analyzing the real population is only a simple processing of the manually collected data. There is no forming algorithm to repeatedly verify the accuracy of the data and identify many abnormal situations such as the separation of people and households. , leading to the inability to effectively control the actual population;

[0005] (2) The timeliness of data analysis is low. The data used is mainly based on manual collection, which is limited by the timeliness of collection. The traditional method of analyzing the actual population cannot grasp the inflow and outflow of personnel in real time, which affects the efficiency of early warning

Images