| With the development and progress of society and the advancement of urbanization,the popularization of Internet and online payment technology,online ordering and unmanned sales of products have become popular,and people’s demand for fast food drinks has become more and more prosperous.The problem of inefficiency in distribution and distribution has become increasingly prominent.At present,unmanned catering equipment on the market cannot efficiently meet the complex and changeable catering needs of consumers.Therefore,the research team put forward the research topic of the key technology of high-efficiency unmanned vending storage cabinets,in order to improve the automation degree and operation efficiency of fast food beverage network sales,and meet the needs of the market.The main research content of the subject includes the following points:1.Through market demand analysis,the function of unmanned vending storage cabinets was planned,the overall structure of the equipment was designed,and the equipment configuration was optimized.The meal storage device is divided into two areas to meet people’s needs for ready-to-eat and diversified meals.2.Research on the mechanical structure of the storage cabinet to access the catering.1)The article uses the cam-driven double baffle structure to realize the delivery of beverages.Through the analysis and design of the key parts of the cam,the stability and efficiency of the work are optimized;2)The transportation of meals during storage is analyzed The process,that is,when the food is transported from the lifting storage mechanism to the storage compartment,the resistance value generated by the food is always less than the driving force,which verifies the efficiency of the mechanism’s transportation;3)By calculating the deflection,analyze the lifting and horizontal movement to take the meal The device improves the transmission form of the meal taking device and enhances the stability of the traverse process.Afterwards,the Ansys software is used to carry out lightweight analysis and verification of the improved model,which enhances the mobility of the device.3.Establish a queuing theory model based on daily dining data,and analyze that the average staying time of current equipment consumers is long and the access efficiency is low.In view of this,this paper analyzes the access strategy and proposes an optimization method that weights the remaining food at each moment,and uses the fmincon function to iteratively solve the position of the meal taking device with the shortest average time according to the position of each table as the stop point;And based on the principle of the shortest time,the ant colony algorithm is introduced to optimize the storage and launch path of the meal.The results show that the optimization of the fmincon algorithm and the combination of the ant colony algorithm can effectively reduce the running time of equipment access and make the equipment efficient The purpose of access.4.Analyze the control requirements of the unmanned vending cabinet,proposed the control plan of the equipment,and plan the hardware system selection and software part of the unmanned vending cabinet to realize the back-end database management and online payment of the unmanned vending cabinet,Meal selection and basic sales actions,etc. |