Research And Application Of Food Safety Risk Prediction Technology For Online Ordering Based On Time Series Model

With the continuous progress of the information age and the continuous development of Internet technology,related information industries have also emerged.The online food ordering industry is one of them.The online food ordering industry has developed rapidly,and it has become one of the main consumption methods of people's dietary life in just a few years.The online food ordering industry has provided convenience to the people's lives,but at the same time,it has also caused some violations of laws and regulations.Bad businesses use the opacity of the Internet to blindly pursue their own interests,which harms the rights and interests of consumers and poses a threat to the health of consumers.Every year,my country introduces new laws and regulations related to online food safety,which have improved some problems.However,due to the rapid development of the online food order industry,and the imperfect system of related regulatory agencies in my country,the lack of detailed laws and regulations has led to repeated online food safety incidents.occur.This article analyzes and predicts online food safety risks,which can not only detect potential safety hazards in advance,implement preventive measures to avoid safety incidents,but also help save the resources and manpower of relevant government regulatory agencies,protect the legitimate rights and interests of food consumers,and create a Good online ordering market environment.In this paper,the following researches have been conducted on the food safety related issues of online ordering:(1)Based on the "Food Safety Law" and "State Food and Drug Administration Order No.36" and other related laws and regulations,the food safety risks of online meal ordering were analyzed,and 16 risk assessment indicators were summarized and put forward.Then the data text types were compared with Corresponding to the evaluation index labels,the analytic hierarchy process is used to calculate the index weights,and finally the weights are substituted into the text model to construct an online food safety risk evaluation system.This provides a theoretical basis for the application research after this article,namely the construction of a network food safety monitoring platform.(2)In the research process of online food safety risk prediction based on time series model,this paper compares and analyzes the advantages and disadvantages of ARIMA,LSTM and Bi LSTM models in this experiment.An improved Bi LSTM model is proposed.In the traditional Bi LSTM,the NSAdam gradient descent algorithm is introduced,which strengthens the memory of non-stationary time series and improves the accuracy of prediction.At the same time,an optimization scheme for window length is proposed,and MSE is used as the evaluation criterion to search for the optimal window length.The model algorithm provides technical support for the construction of the Internet food safety monitoring platform.(3)This article uses scientific methods such as artificial intelligence and deep learning to provide technical support and theoretical basis for regulating Internet food sales behavior,and finally applies theoretical technology to practical applications.After pre-demand analysis and system design,an Internet food safety monitoring platform was built based on the previous risk evaluation system and improved time series model to realize the functions of food safety risk monitoring and risk value prediction and early warning for online takeaway merchants in the region.The research of this subject comes from the research and development project of the national key research and development fund,and belongs to the sub-project under the main subject of "Internet food sales illegal and illegal behavior supervision technology research and system development".At the theoretical level,an improved Bi LSTM network model is proposed,which enhances the prediction ability of non-stationary time series and improves the prediction accuracy of the model.At the same time,at the application level,an Internet food safety monitoring platform has been constructed.The establishment of this system is helpful to enhance citizens' consumption safety concept and improve the quality of online food safety sales in our country.It has important reference value for solving the food safety problem of online ordering food in our country.