Urban community safety prediction method based on big data

Active Publication Date: 2019-07-12
CHINACCS INFORMATION IND
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This invention aims at the problem of how to integrate multi-source data sets to predict the safety of urban communities, and provides a method for predicting the safety of urban communities based on big data. This method makes full use

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  • Urban community safety prediction method based on big data
  • Urban community safety prediction method based on big data
  • Urban community safety prediction method based on big data

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Experimental program
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Embodiment 1

[0034] see Figure 1 to Figure 4 , the present invention provides a method for predicting urban community safety based on big data, such as figure 1 Shown is a schematic diagram of the entire prediction process of the method. When predicting the safety of urban communities, it is necessary to find relevant data sets that can dynamically reflect the laws of daily life in the city, preprocess these data sets, and then use data mining and data fusion to predict the safety of urban communities. The method analyzes these data sets and finally obtains the prediction of urban community safety. The specific implementation process is as follows:

[0035] S1, according to the city's main roads and dynamic life rules, perform grid processing on the city that needs to be predicted, and divide the city into multiple grids.

[0036] S2, in the divided grid, mark the grid where the community is located as the prediction target, and preprocess the collected data, and process it into the dat...

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Abstract

The invention discloses an urban community safety prediction method based on big data, and relates to the field of city computing and data fusion in big data. The technical scheme includes mining potential relations among urban data sets and fusing the potential relations to predict related aspects of urban life dynamically; outputting the vector representation of the influence of each factor through a corresponding neural network, connecting the vector representation through a connection layer, inputting the vector representation into a multilayer perceptron, analyzing the comprehensive evaluation of the influence of the different sources on the urban community safety, and calculating the prediction result of the urban community safety. The urban community safety prediction method based on the big data has the beneficial effects that the idea of static statistical information, time sequence information and neural network fusion is utilized to mine potential connections existing amongvarious types of data, and the generality of the connections is analyzed to predict the urban community safety.

Description

technical field [0001] The invention relates to the field of urban computing and data fusion in big data, in particular to a method for predicting urban community safety based on big data. Background technique [0002] With the rapid development of urbanization, cities are facing more and more challenges, such as environmental degradation, traffic congestion, and environmental safety. Since safety is related to daily life, people are very concerned about the safety of their living environment. Environmental safety is related to many factors, and there is a potential relationship between each factor. [0003] At present, security prediction has become one of the hot research topics in machine learning and deep learning. Among the existing researches, most of the demographic data are predicted by machine learning to predict urban safety and crime data, and the next moment of crime is predicted through the recurrent neural network. However, for the research on urban communit...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/265G06F18/251Y02A30/60
Inventor 舒泓新蔡晓东刘玉柱王秀英杜翔
Owner CHINACCS INFORMATION IND
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