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Big data-based unemployed population dynamic monitoring method

A technology of population dynamics and big data, applied in data processing applications, electronic digital data processing, special data processing applications, etc.

Active Publication Date: 2018-11-02
上海世脉信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that although unemployment occurs frequently in daily economic activities, due to the limitations of conventional statistics, it is limited by many prerequisites in the specific survey process, which makes the survey statistical data and the real unemployed population in economic activities have certain gaps. difference

Method used

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  • Big data-based unemployed population dynamic monitoring method
  • Big data-based unemployed population dynamic monitoring method
  • Big data-based unemployed population dynamic monitoring method

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Embodiment Construction

[0074] In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0075] Step 1. The system reads the anonymous encrypted mobile terminal sensor data obtained from the sensor operator. The anonymous encrypted mobile terminal sensor data is theoretically continuous in time and space. Different mobile terminals correspond to different EPIDs, and each EPID is extracted within a specified time period. The triggered communication signaling records constitute the travel data set of the EPID.

[0076] Step 1.1. The system reads the anonymized individual encrypted mobile terminal sensor data obtained from the sensor operator, and constructs a preliminary individual travel space-time trajectory composed of individual and fixed sensor communication records. The extraction of communication records between individuals and fixed sensors is disclosed in In the Chinese patent application number 201710535039.7....

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Abstract

The invention discloses a big data-based unemployed population dynamic monitoring method. The method comprises the following steps of constructing massive individual travel tracks according to time-space record data of individuals; by training prior samples, performing learning to obtain a boundary of unemployed and employed populations in a daily travel mode feature; based on this, identifying all the samples, and judging a current employment state; updating the data in real time, monitoring and updating employment conditions of all the samples, and calculating a ratio of the unemployed population to the samples; and expanding the samples to obtain an unemployed population distribution condition of the whole society in two dimensions of time and space and a statistical result of the unemployed population distribution condition. The method has the advantage that the statistics of real-time unemployed population and unemployment rate in a region can be carried out conveniently and efficiently.

Description

technical field [0001] The invention relates to a method for dynamic identification and monitoring of unemployed population based on massive anonymous encrypted time series positioning data, so as to obtain the distribution of unemployed population in the two dimensions of time and space and statistical results of the whole society. Background technique [0002] Statistically, the unemployed population is defined as persons aged 16 and above who are capable of labor, have no work during the survey period, are currently employed and are looking for work in some way. Due to the limitations of the survey, the unemployed population statistics are further divided into urban surveyed unemployed population and urban registered unemployed population, and judging whether an individual is unemployed depends on a large number of preconditions. Among them, the urban registered unemployed population refers to those who have non-agricultural household registration, are able to work within...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62G06Q50/26
CPCG06Q50/26G06F18/23
Inventor 张颖顾高翔刘杰吴佳玲郭鹏宫龙
Owner 上海世脉信息科技有限公司
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