The basic principles and methods of monitoring object identification program to prevent poverty return include data collection, standard formulation, data analysis and risk assessment.

1. Data collection: First, collect relevant data, including personal income, property, education level, employment status and other information. These data can be obtained from various sources, such as census, social security records, employment surveys, etc.

2. Standard setting: according to the poverty line standard of a country or region, determine whether a person is in poverty. Poverty line can be set according to income level, family size, regional differences and other factors.

3. Data analysis: By analyzing the collected data, the poor population can be determined. This can be achieved by statistical methods, machine learning algorithms and other technologies. For example, you can use cluster analysis to group similar individuals, and then identify potential poor groups according to the characteristics of each group.

4. Risk assessment: After identifying the potential poor groups, risk assessment is needed to determine whether they may fall into poverty again in the future. This can be achieved by considering family background, education level, employment stability and other factors.

Main classification of monitoring objects for returning to poverty

1. Monitoring of poverty population: This is the most direct monitoring object for returning to poverty, mainly targeting people who are already below the poverty line. By continuously tracking the income, living conditions and education level of these people, we can find out in time that they may fall into poverty again.

2. Monitoring of poverty-stricken areas: In addition to the poor population, some areas are prone to fall into poverty due to lack of resources and backward infrastructure. Monitoring the poverty situation and changes in these areas can help the government to take timely measures to prevent residents in poverty-stricken areas from falling into poverty.

3. Monitoring of special groups: This mainly includes special groups such as the elderly, the disabled and orphans. These groups are more likely to fall into poverty because of material, economic or social conditions. Supervising them can help society better protect their rights and interests.

4. Emergency monitoring: For example, natural disasters, epidemics and other emergencies may have a serious impact on people's lives and lead them into poverty. Monitoring these incidents can help the government to take timely rescue measures and reduce their impact on people's lives.