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Multi-source spatio-temporal data fusion method and device, computer equipment and storage medium

A spatiotemporal data and fusion method technology, applied in the field of data processing, can solve the problem of not being able to support spatiotemporal big data well, and achieve the effect of good urban security management and reduction of redundancy.

Pending Publication Date: 2022-03-01
深圳市北斗智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the scale of the entire city is huge, and the population of a megacity can reach tens of millions, and the amount of data generated is also huge. The current cloud computing platform cannot well support spatiotemporal big data.

Method used

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  • Multi-source spatio-temporal data fusion method and device, computer equipment and storage medium
  • Multi-source spatio-temporal data fusion method and device, computer equipment and storage medium
  • Multi-source spatio-temporal data fusion method and device, computer equipment and storage medium

Examples

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Embodiment 1

[0030] figure 1 It is a flow chart of the multi-source spatio-temporal data fusion method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of fusing spatio-temporal information obtained from different data sources, and the method can be executed by the multi-source spatio-temporal data fusion device provided in the embodiment of the present invention, and the device can be implemented by means of hardware and / or software To achieve, generally can be integrated in computer equipment. Such as figure 1 As shown, it specifically includes the following steps:

[0031] S11. Acquire multi-source spatio-temporal information, and convert each of the spatio-temporal information according to a unified preset data format, so as to obtain spatio-temporal data of each data source.

[0032] Specifically, various spatio-temporal information can be obtained from different data sources. The data sources can come from public transport, rental, ...

Embodiment 2

[0050] Figure 5 Schematic diagram of the structure of the multi-source spatio-temporal data fusion device provided in Embodiment 2 of the present invention. The device can be realized by hardware and / or software, and generally can be integrated into a computer device to implement any embodiment of the present invention. Multi-source spatio-temporal data fusion method. Such as Figure 5 As shown, the device includes:

[0051] A data acquisition module 51, configured to acquire multi-source spatio-temporal information, and convert each of the spatio-temporal information according to a unified preset data format, to obtain spatio-temporal data of each data source;

[0052] A similarity calculation module 52, configured to separately calculate the similarity between each of the spatio-temporal data in each data source and each of the spatio-temporal data in other data sources;

[0053] A data matching module 53, configured to match the spatio-temporal data between different da...

Embodiment 3

[0072] Image 6 The schematic structural diagram of the computer device provided for the third embodiment of the present invention shows a block diagram of an exemplary computer device suitable for implementing the embodiment of the present invention. Image 6 The computer equipment shown is only an example, and should not bring any limitation to the functions and scope of use of the embodiments of the present invention. Such as Image 6As shown, the computer equipment includes a processor 61, a memory 62, an input device 63 and an output device 64; the number of processors 61 in the computer equipment can be one or more, Image 6 Taking a processor 61 as an example, the processor 61, memory 62, input device 63 and output device 64 in the computer equipment can be connected by bus or other methods, Image 6 Take connection via bus as an example.

[0073] The memory 62, as a computer-readable storage medium, can be used to store software programs, computer-executable program...

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Abstract

The embodiment of the invention discloses a multi-source spatio-temporal data fusion method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring multi-source spatio-temporal information, and converting each piece of spatio-temporal information according to a unified preset data format to obtain spatio-temporal data of each data source; respectively calculating the similarity between each piece of spatio-temporal data in each data source and each piece of spatio-temporal data in other data sources; matching the spatio-temporal data among the different data sources according to the similarity; and fusing the spatio-temporal data of each data source according to a matching result. According to the technical scheme provided by the embodiment of the invention, the fusion of the multi-source spatio-temporal data is realized, and the redundancy of the spatio-temporal data for each user is reduced, so that the spatio-temporal data can be better utilized to carry out projects such as urban safety management and urban planning.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a multi-source spatio-temporal data fusion method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of mobile Internet and wireless technology, as well as the improvement of the Beidou positioning system, public transportation, taxis, online car-hailing and shared bicycles have resulted in explosive growth of spatio-temporal data. How to use historical trajectory data and artificial intelligence technology to integrate multiple The source trajectory IDs are unified to form a multi-source ID library based on time and space, which has guiding significance for improving urban safety management and urban planning. [0003] At present, the scale of the entire city is huge, and the population of a megacity can reach tens of millions, and the amount of data generated is also huge. The current cl...

Claims

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Application Information

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IPC IPC(8): G06F16/25G06F16/29
CPCG06F16/258G06F16/256G06F16/29
Inventor 张帆
Owner 深圳市北斗智能科技有限公司
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