Design And Development Of Rural Management Service System Based On Digital Rural Model

Digital countryside is the development path of digital countryside under the national rural revitalization strategy,and the digital countryside model is an analysis model established according to the national rural revitalization strategy.At present,the township work affairs are complicated,there are low efficiency,difficult to supervise,internal management information level is low many problems.At the same time,farmers have great limitations in searching for information about daily crops.At present,the developed rural management service platform is not fully functional,lack of theoretical model guidance and integrated services for crop statistical analysis and intelligent question and answer.Therefore,in order to improve the level of digital rural governance,promote the extended coverage of "Internet + government services",realize the practical implementation of digital rural architecture,and develop a rural management service system based on digital rural model.It is very necessary to realize the daily management of digital countryside and provide farmers with statistical analysis of crops and intelligent questions and answers of agricultural production.Based on the analysis of the digital rural model,this thesis designs and develops the digital rural management service system.It realizes the functions of township management daily function module,daily crop correlation statistical analysis module,intelligent question and answer module in agricultural production field,etc.The system is a multi-terminal system with actual management as the demand.It has both the Web end that can meet the needs of village two committees and township staff,and the mobile end that can meet the daily needs of township,village staff,villagers and enterprise contacts.The daily function module of township governance has realized the functions of three capital management,party construction management,grid management,service guide,village notification,product price and user management of personal information.In the daily crop correlation statistical analysis module,the functions of product price,supply and demand relationship and market supply and demand relationship are realized.Decision tree algorithm is used for data statistical analysis of conventional data,and the final output of comparison results.By using K-means clustering algorithm,the data set of daily crop prices,supply and demand relationship and other aspects were classified and analyzed.Based on crop information in different regions,the guiding conclusions of regional self-adaptation are established,and the practical suggestions with timeliness are obtained.In the agricultural intelligent question and answer module,the function of question and answer generation and feedback is realized.Text segmentation is realized by using data question based on network crawl,and a neural network model based on Siamese-LSTM question similarity calculation is constructed to compute and sort text vector distance,which solves the semantic and semantic complex relationship between questions.Convolution neural network problem classification model is used to generate abstract semantic representation vector.According to the classification results,the best matching of questions and answers is established to effectively improve the classification matching performance of questions.The answer completion model based on knowledge representation learning is constructed,and the context-based analytic representation of questions is trained,which improves the discriminant performance of the model for semantically similar or related answers in answer selection,and further improves the accuracy and reliability of intelligent question answering.The overall design and development of the system has certain application value and practical significance for promoting rural digital management and providing practical guidance for rural information management services.