Unlock instant, AI-driven research and patent intelligence for your innovation.

LBS big data-based urban large-scale aggregation activity intelligence early warning method and device

A big data and urban technology, applied in the field of data processing, can solve the problems of LBS location big data mining, low utilization and low maturity, and achieve the effect of improving effectiveness and controllability

Active Publication Date: 2020-07-24
CHINA CRIMINAL POLICE UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides a method and device for early warning of urban large-scale gathering activities based on LBS big data, which solves the problem of low mining and utilization of LBS location big data in the prior art, and uses LBS location big data for large-scale gathering activities. The technical problem of low maturity of intelligence early warning has achieved deep mining and utilization of LBS location big data to improve the effectiveness of LBS location big data for intelligence early warning in large-scale gathering activities, thereby providing auxiliary decision-making and plans for emergency command and improving large-scale Technical Effects of Controllability of Aggregation Activities

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • LBS big data-based urban large-scale aggregation activity intelligence early warning method and device
  • LBS big data-based urban large-scale aggregation activity intelligence early warning method and device
  • LBS big data-based urban large-scale aggregation activity intelligence early warning method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] figure 1 It is a schematic flow chart of the method for early warning of urban large-scale gathering activity intelligence based on LBS big data in the embodiment of the present invention. Such as figure 1 As shown, the embodiment of the present invention provides a large-scale urban gathering activity intelligence early warning method based on LBS big data, and the method includes:

[0063] Step 110: Obtain the first LBS data stream and the second LBS data stream, establish a first LBS database according to the first LBS data stream, and establish a second LBS database according to the second LBS data stream, wherein the second LBS The source of the data stream is different from that of the first LBS data stream.

[0064] Further, the first LBS data flow comes from public service provider interface data, and the second LBS data flow comes from traffic operation data of the transportation department and real-time data of the public security department. Further, the f...

Embodiment 2

[0083] Based on the same inventive concept as the LBS big data-based urban large-scale gathering activity intelligence early warning method in the foregoing embodiments, the present invention also provides a city large-scale gathering activity intelligence early warning method device based on LBS big data, such as Figure 5 As shown, the device includes:

[0084] A data processing unit 11, the data processing unit 11 is used to obtain a first LBS data stream and a second LBS data stream, establish a first LBS database according to the first LBS data stream, and establish a second LBS database according to the second LBS data stream LBS database, wherein the source of the second LBS data stream is different from that of the first LBS data stream;

[0085] A data mining unit 12, the data mining unit 12 is used to establish a first thematic database of the POI work area according to the first LBS database and the second LBS database, and adopt a data mining algorithm to establish...

Embodiment 3

[0111] Based on the same inventive concept as the LBS big data-based urban large-scale gathering activity intelligence early warning method in the foregoing embodiments, the present invention also provides an urban large-scale gathering activity intelligence early warning device based on LBS big data, such as Figure 6 As shown, it includes a memory 304, a processor 302, and a computer program stored on the memory 304 and operable on the processor 302. When the processor 302 executes the program, it realizes any of the above-mentioned shopping and social networking methods A step of.

[0112] Among them, in image 3 In, bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 will include one or more processors represented by processor 302 and various types of memory represented by memory 304 circuits linked together. The bus 300 may also link together various other circuits, such as peripherals, voltage regulator...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an LBS big data-based urban large-scale aggregation activity intelligence early warning method and device. The method relates to the technical field of data processing, and comprises the steps of obtaining a first LBS data stream and a second LBS data stream, establishing a first LBS database according to the first LBS data stream, and establishing a second LBS database according to the second LBS data stream; establishing a first topic database of a POI working area according to the first LBS database and the second LBS database, establishing a first type topic mining model to process the first topic database, and obtaining first emergency prediction information; setting a first early warning threshold according to the first emergency prediction information and thefirst characteristic attribute; and establishing an LBS feature topic early warning model according to the first early warning threshold, and inputting the real-time feature data into the LBS featuretopic early warning model to obtain first intelligence early warning information, thereby realizing the technical effects of deeply mining and utilizing the LBS position big data and improving the effectiveness of the LBS position big data for intelligence early warning in large-scale aggregation activities.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for early warning of large-scale gathering activity intelligence in cities based on LBS big data. Background technique [0002] With the strengthening of my country's comprehensive national strength, domestic public activities are increasing day by day, and public safety issues caused by emergencies in large-scale gatherings have become a common concern of all countries in the world. How to effectively monitor real-time data such as people flow, vehicle flow, passenger flow, emergency deployment, and network public opinion in areas, places, and roads in large-scale gathering activities in cities, and how to quickly make intelligence judgments and early warnings in combination with relevant mining models has become an intelligence in large-scale gathering activities. Work research hotspots. [0003] Now that we have entered the era of big data, informa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q50/26G06F16/9537G06F16/21G06F16/28G06F16/2458
CPCG06Q50/26G06F16/9537G06F16/21G06F16/285G06F16/2465Y02D30/70
Inventor 张冬冬
Owner CHINA CRIMINAL POLICE UNIV