A spatio-temporal big data sharing and service model construction method

Abstract

The invention provides a space-time big data sharing and service model constructing method. A communication terminal calls information from a total storage module, an acquisition module records calling information data from the communication terminal to the total storage module according to classification information of a data classification module, the acquisition module sends the recorded data to a priority module, the priority module performs specific numbering on initial data stored in the total storage module in sequence according to the calling information data, and an information publishing module sends the specific data corresponding to the total storage module to each corresponding communication terminal sub-storage module according to the specific number; when the communication terminal calls the information data, the sub-storage modules in the communication terminal are called preferentially; and after the calling to the sub-storage module is finished, if a calling program which is not executed still exists, the communication terminal calls the data to the total storage module.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a spatio-temporal big data sharing and service model building method. Background technique [0002] With the development of smart mobile devices and wireless networks, urban life in today's society is moving towards a smart life. From smart homes in daily life to smart planning of the entire city, using mobile devices to collect information as a data source for future planning has become a very popular direction. However, after the data collation is completed, the customers who need to use the data often have to pay a very high cost, resulting in very slow and high costs for the entire data transmission chain. [0003] The shortcomings of the existing technology are mainly reflected in the sustainability of the entire data collection process and maintenance costs; in the existing technology, due to the inconsistent business standards and data standards of each terminal, ...

AI Technical Summary

Problems solved by technology

However, after the data collation is completed, the customers who need to use the data often have to pay a very high cost, resulting in very slow and high-cost delivery of the entire data delivery chain.

[0003] The shortcomings of the existing technology are mainly reflected in the sustainability of the entire data collection process and maintenance costs; in the existing technology, due to the inconsistent business standards and data standards of each terminal, the data cannot be exchanged and shared, forming a situation where each unit, each article island of information

First of all, all units have to repeatedly collect and store basic and public information, resulting in repeated investment in human, material and financial resources; secondly, due to repeated data collection and storage, data redundancy is caused, which affects the consistency and uniqueness of data To this end, the present invention provides a spatio-temporal big data sharing and service model construction method to at least partly solve the above problems

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