Recently, the People's Procuratorate of Shucheng County, Lu'an City, found a clue through the big data procuratorial model, and immediately contacted the parties and carried out judicial assistance.

It is understood that Zhou died due to Duan's traffic accident, the defendant Duan was sentenced to 10 months in prison, and Duan was sentenced to more than 830000 yuan in compensation. The applicant is the parents of Mr. Zhou, who is the target of the minimum living security for rural residents. His mother is a woman with financial difficulties in rural areas, and his father is suffering from Parkinson's disease. He is a secondary disabled person with limbs. It is confirmed by the town government and the village committee that the family is poor and has a very difficult life. At present, the court is seeking judicial assistance for the applicant to alleviate his poverty. Since this year, the Procuratorate of Shucheng County has screened three effective judicial aid clues through the big data model, which are currently in process.

According to the hospital, judicial assistance for criminal victims who have become trapped and returned to poverty due to cases is an important measure for procuratorial organs to actively perform their duties and actively integrate into the social governance pattern of co construction, co governance and sharing. However, factors such as the lack of smooth information connection in judicial assistance work often lead to difficulties in finding clues and untimely assistance. In order to further actively perform their duties and effectively tap the clues of judicial assistance, the hospital, through exploring and building a big data model of judicial assistance, summarized, analyzed and screened the data of eligible parties, established a database, and compared it with the data of civil affairs, women's federation, rural revitalization bureau, ex servicemen affairs bureau, etc, Realize the transformation of rescue clues from manual sorting to intelligent screening, and timely carry out judicial assistance by procuratorial organs. At the same time, based on big data research and judgment, we will actively promote the connection between judicial assistance and social assistance, and strive to promote social harmony, so that people can feel the warmth of procuratorial work in time when handling cases.

Through the big data model, the "judicial assistance+" working mechanism was established, and the clues were timely sorted out to achieve the normalization of the working mechanism, so that the relief work has "foreign aid", greatly improving the effectiveness of assistance and relief. The digital rescue clue discovery model has changed the problems of incomplete data and low efficiency of one-way detection of criminal case victims in the past. It uses data models and data collisions to accurately screen eligible rescue objects, and plays a faster and better role in the "rescue" of judicial assistance. At the same time, after the judicial assistance is completed, it can also be pushed to the corresponding departments for coordinated assistance according to the specific situation of the relief object, combining economic assistance with legal aid, psychological counseling, law popularization, rural revitalization, etc., to build a "1+N" diversified rescue pattern with multiple participation and multiple measures, and promote social assistance through judicial assistance, Integrate procuratorial work into social grid governance. (Yuan Xue)