Large data integration method, system and device for spatial planning

Abstract

The invention discloses a large data integration method, system and device for spatial planning. The method comprises the following steps that a terminal calculates a first MD5 check code of data to be collected on a storage device, and obtains position information, time information and collector information; the terminal sends the first MD5 check code to the server; The terminal marks the repeated data to be collected; the server compares the data in the database according to the first MD5 check code sent by the terminal and feeds back the comparison result to the terminal; the server receives the data to be collected uploaded by the terminal; the server calculates a second MD5 check code of the data to be collected uploaded by the terminal; when the second MD5 check code is the same as the first MD5 check code, the data to be collected is stored into the database. The system includes a storage device, a terminal and a server. The invention improves the working efficiency data, reduces the complexity of data collection, has high confidentiality, and can be widely applied in the processing technical field.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a big data integration method, system and device for spatial planning. Background technique [0002] Spatial planning is mainly used by the public sector to affect the spatial distribution of future activities. Its purpose is to create a more reasonable territorial organization of land use and functional relationships, and to balance the two needs of environmental protection and development to achieve overall social and economic development. The goal. [0003] At present, due to the large number of spatial planning service items, the data files are in a state of scattered storage. However, due to the intersection of data between different projects, the scattered and incomplete information of material collection (lack of information such as the location and time of collection) and the lack of data collection Due to timeliness, data collection is difficult and work efficie...

AI Technical Summary

Problems solved by technology

[0003] At present, due to the large number of spatial planning service items, the data files are in a state of scattered storage. However, due to the intersection of data between different projects, the scattered and incomplete information of material collection (lack of information such as the location and time of collection) and the lack of data collection Due to timeliness, data collection is difficult and work efficiency is low; moreover, repeated collection of the same material will greatly increase the workload of data collection; in addition, because land projects have high requirements for the accuracy and confidentiality of original data , the original data file must be guaranteed not to be modified, and the existing technology cannot guarantee that the original data file in storage has not been modified

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