A real population analysis method and system based on spatio-temporal data

Abstract

The present invention provides a real population analysis method and system based on spatio-temporal data, including compressing a large amount of data with a common subject object in the spatio-temporal trajectory data into one data record based on the object normalization algorithm, and then using the site aggregation algorithm Multiple similar positions of the same subject object in the spatio-temporal trajectory data are aggregated into the same position to form an object spatio-temporal database; the object spatio-temporal database is filtered based on the type of personnel stay, and the residents and passers-by are extracted, respectively. It is saved as a collection of residents and a collection of passing people, and the collection of residents is updated and saved every day, and the collection of residents calculated every day by statistics constitutes the local actual population database. Compared with the traditional actual population analysis method, the present invention greatly reduces the scale of data, improves the analysis efficiency and accuracy of massive spatio-temporal data, and realizes more accurate and timely automatic analysis of local actual population .

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

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