Poverty alleviation object determination method and device

Abstract

The invention discloses a poverty alleviation object determination method and device. The method comprises the following steps: acquiring investigation data of an investigation object; carrying out fusion processing on the investigation and survey data to obtain multi-dimensional feature data of the investigation and survey object; according to the multi-dimensional feature data, calculating a poverty obstacle degree index of the investigation object; and when the poverty obstacle degree index reaches a preset threshold value, determining that the investigation object is a poverty alleviation object. By adopting the method provided by the invention, the model is established for the poverty condition of the investigation object from multiple different angles, objective and automatic analysis is performed, the interference of human factors is avoided, in addition, the data accuracy is improved through cross validation of data from different sources and identification of error data, and then objective, accurate and rapid identification of poverty households is realized.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular to a method and device for determining poverty alleviation targets. Background technique [0002] Poverty alleviation is an important political task in my country at present. Since the reform and opening up, my country's poverty alleviation and development work has successively gone through four stages: rural poverty alleviation, development-oriented poverty alleviation, comprehensive poverty alleviation and targeted poverty alleviation. Targeted poverty alleviation refers to a poverty alleviation method that uses scientific and effective procedures to implement precise identification, precise assistance, and precise management of poverty-stricken objects in accordance with the environment of different poverty-stricken areas and the conditions of different poor rural households. Farmers are the main body in the process of poverty alleviation, and farmers, especia...

AI Technical Summary

Problems solved by technology

Such a survey method not only requires a lot of manpower to judge poor households, but also has low efficiency and a long cycle, and different people have inconsistent standards for identifying poverty, which is greatly affected by human subjective factors. In addition, the existing survey methods, Only qualitative poverty degree can be obtained, lack of quantitative analysis, and it is very easy to be interfered by subjective and objective factors such as farmer guides, resulting in poor reference results

At the same time, the existing survey methods can only know poverty through the results, and cannot accurately identify the causes of poverty, such as diseases and low education levels, and cannot focus on monitoring potential risk families

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