Internet+Precision Poverty Alleviation Lets Poverty Alleviation Appear in the "Sunlight"

Lixin County, a national poverty-stricken county located in the northern part of Anhui Province, has completed the development of mobile precision poverty alleviation terminals, testing, and training of personnel, and put them into use.

From the central to local, from the government to enterprises, from helping personnel to poor households, China Telecom's precision poverty alleviation big data platform provides cloud computing, big data, mobile Internet and other modern information technology for Lixin County in Anhui Province to build a county, township, village three-level precision poverty alleviation big data service platform. This also creates good experience for other regions to get rid of poverty.

Big data, poor households "not one less"

"The red mark on the file document is not yet out of poverty, the green mark is already out of poverty, and the yellow mark is in the process of helping, being out of poverty. There is also a number at the bottom of the file." In front of the 2-meter-high, 1.5-meter-wide file storage cabinet for poor households at the Yongchang Village Poverty Alleviation Station in Gongdian Township, Lixin County, Anhui Province, Yang Yutao, the station manager, introduced to the reporter.

Lixin County*** has 49,014 poor households and a poor population of 97,323 people. Before the platform was launched, it would not only take a very long time to sort out the statistics of a particular item of data from nearly 100,000 poor people's data, but also bring about a huge workload. By the time the data are tallied, the actual situation has long changed. However, after accessing the big data platform built by China Telecom, the situation has become very different.

Chen Hua, director of the poverty alleviation bureau in Lixin County, Anhui Province: "We arbitrarily choose a poor household, as long as you click on the name of the poor household, you can directly view the detailed information of the poor household, including the family situation, the income situation, the production and living conditions, and the person responsible for helping the person."

With the help of the big data platform built by the telecom company, the Poverty Alleviation Bureau has realized the statistics and analysis of three indicators, namely the attributes of poor households, the degree of poverty and the main causes of poverty. All the information on poor households has been transcribed from paper to electronic data, and all the statistics can be generated instantly by just moving your fingers on the computer.

LBS, helping path accurate to the meter

"2017 plans to get rid of 68,293 people, more than 60,000 poor households, more than 6,000 people to help the team, the management is not a simple task, for this reason, we have jointly developed a cell phone APP with the Telecom, and fully docked with the big data platform to form a closed loop of management. " Anhui Lixin County executive vice mayor Xun Fengfei said.

According to the reporter's understanding, the poverty alleviation cadres should open the positioning service of the precise poverty alleviation big data APP in the cell phone before each helping visit. In addition to being able to view the geographic location of the poverty alleviation cadres in real time, the APP is also able to record the action track of the poverty alleviation cadres, and support the action track video playback within a specific time period, minimizing the possibility of poverty alleviation cadres to falsely register poverty alleviation logs.

Liu Ying, head of the Social Poverty Alleviation Unit of the Poverty Alleviation Bureau of Lixin County, Anhui Province, said, "With the APP for poverty alleviation, village cadres can make on-site inquiries, collect and enter poverty alleviation data every time they visit a poor household to get a real-time understanding of poverty alleviation on-site dynamics, avoiding repetitive work, significantly reducing workload and improving work efficiency."

Through the functions of personnel positioning and track query, it can not only accurately collect the location information of poor households, but also realize the accurate management of poverty alleviation task forces and persons responsible for helping the poor, as well as send the requirements that need to be implemented and processed by grassroots poverty alleviation workers to their cell phones in the form of tasks to realize rapid supervision.

Cloud computing, poverty alleviation process at a glance

"1 poverty alleviation cadre corresponds to 10 poverty alleviation objects, he will upload the needs of the poor households to the platform. Each poverty-alleviation household has its own data card, and it will show incomplete at the completion of the demand, and then modify the status to completed through the APP when it is completed." Xie Songming, general manager of China Telecom's Lixin branch, explained to reporters the basic information maintenance function of the big data platform.

Basic information maintenance function is mainly to poor counties, poor villages, poor households poverty alleviation related data collection, maintenance, management and statistics, and dynamic tracking of the poverty situation of poor households, through the cloud computing of the big data platform, we are able to have a full grasp of the process of poverty alleviation, timely adjustment of poverty alleviation policies.

The precision poverty alleviation big data platform not only realizes the digitization of the whole process of poverty alleviation business and effectively deposits poverty alleviation related business data, but also changes the previous situation of poverty alleviation which is fragmented and unsystematic. It is built by the whole county, and the townships*** enjoy and solve the problem of data incompatibility between different administrative divisions, and realize the unified control of poverty alleviation twinning relationship and twinning process in the whole county. Through the statistical analysis of poor villages, households and population, the analysis of the effectiveness of poverty alleviation and assistance, the county's data collection, summary analysis, for the development of accurate poverty alleviation decision-making provides effective support.