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A method and system for detecting abnormal population information based on big data

A technology of abnormal information and detection methods, applied in the field of population management, can solve the problems of low efficiency and high cost of risk identification

Active Publication Date: 2020-06-12
TERMINUSBEIJING TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the purpose of this application is to propose a method and system for detecting abnormal population information based on big data, improve the detection level of abnormal population information, and solve the low efficiency and high cost of risk identification in the current detection process of abnormal population information. question

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  • A method and system for detecting abnormal population information based on big data
  • A method and system for detecting abnormal population information based on big data
  • A method and system for detecting abnormal population information based on big data

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Embodiment Construction

[0039] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0040] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0041] figure 1 A flow chart showing a method for detecting abnormal population information based on big data according to an embodiment of the present invention. Such as figure 1 As shown, the big data-based population anomaly information detection method includes:

[0042] Step...

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Abstract

The embodiment of this application provides a big data -based population information detection method and system.This method includes: in the sequence of time sequences, sorting the population action trajectory data and interpolation of the population of the population continuously moved. The geographical information system is used to statistics the geographical information of the area where the unit's population is in each time, combined with the basic information of the population, forming a population action dataCollection; adopt a cluster algorithm to make a cluster of the population mobile dataset, calculate the characteristics of each person's geographical location in each time period, and use the associated rules algorithm to extract each person in each time period to stay in the geographical location of the geographical location in time and timely laws in a timely manner., Construct the trajectory of the population action trajectory; import the real -time population action trajectory data, deviate from the real -time geographical distance from the population to deviate from the characteristic set of the population action trajectory, analyze the duration of the population staying in the abnormal geographical characteristics area, and issue a warning of the abnormal population of the population.This application improves the efficiency of population management.

Description

technical field [0001] The present application relates to the field of population management, in particular to a method and system for detecting abnormal population information based on big data. Background technique [0002] Population anomaly detection is an important part of smart city management. It aims to improve the level of population management and danger prevention, and provide better support for the protection of people's lives and property and the development of cities. The detection of abnormal population information focuses on the discovery of accidental risks, and provides special care for special groups of people to prevent accidents. Traditional population anomaly information detection is still in the mode of manual supervision, or passively waits for relevant personnel to call the police. It has not realized the intelligence of daily detection and management, and has not realized the use of big data. It wastes a lot of manpower, material resources and finan...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/26G06F16/29G06K9/62
CPCG06Q10/0635G06Q50/26G06F16/29G06F18/23
Inventor 董承利
Owner TERMINUSBEIJING TECH CO LTD