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Research And Design Of A Smart Vending Control System

Posted on:2020-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y WangFull Text:PDF
GTID:2392330572486671Subject:Transportation electrical equipment and control
Abstract/Summary:PDF Full Text Request
Aiming at the problems that the traditional vending machines with single function and poor real-time performance are difficult to satisfy the storage environment of fresh food,potted flowers and other commodities.A novel vending machine with adjustable temperature-humidity and large workspace is designed by means of structural optimization method and electrical integration technology.Combining with multi-sensor feedback technology,temperature-humidity coupling characteristics and parameter optimization algorithm,the effect of system disturbance factors on cabinet 's temperature-humidity and the mapping relationship between temperature-humidity coupling coefficient and operation cost of device are analyzed.In addition,the time-delay nonlinear coupling model and the temperature-humidity power optimization matching model are established,which lay a solid theoretical foundation for the later development of vending machine.The main contents of this paper are as follows:(1)Optimization design of the novel vending machineIn view of the problems of traditional vending machines with low space utilization rate and small display area,based on the principle of human-computer interaction,a novel design scheme of multi-functional vending machine is proposed.At first,the structural parameters of the vending machine are optimized based on the existing devices,and the new multi-face display structure and innovative delivery mode are designed.Secondly,the environmental parameters of vending machines are monitored in real time by accessing temperature-humidity data measuring module.Last but not least,the real-time monitoring and management of functional components are realized by combining interactive system and electrical control system,which greatly enhance the practicability and applicability of the device and improve the overall performance of the vending machine.(2)Research on temperature-humidity control mechanism of the vending machineBased on the first law of thermodynamics and wet map,the air thermodynamic equation and temperature-humidity coupling model of the vending cabinet are established for the problems of flowers and potted plants with temperature-humidity high sensitivity and short preservation time.The influence of single-dimensional characteristic variable(such as external environment,equipment load,fresh products and other disturbance elements)on the output characteristics of the cabinet is studied,respectively.The mapping relationship between the cabinet's temperature-humidity and the environmental variables,the thermal conductivity of the cabinet,air intake of the equipment(such as air conditioner,dehumidifier,humidifier),the output temperature of the air conditioner are analyzed.Finally,the temperature-humidity decoupling method and the intelligent control method for multi-field coupling vending machine are proposed.(3)A novel temperature-humidity control strategy of vending machine based on improved GSO algorithmAs the traditional vending machines without temperature-humidity control unit are impossible to adjust the temperature/humidity to achieve long-term preservation of the items.Aiming at the problems with the temperature-humidity coupling and time-delay nonlinearity,which affect the power optimization matching of the vending machine,and the temperature-humidity optimization configuration strategy based on the variable-step adaptive glowworm optimization algorithm is proposed.By studying the constraint conditions of flowers and potted plants and the temperature-humidity coupling characteristics,the influence of temperature-humidity coupling coefficient on the operating cost of vending machines is analyzed,and optimized matching model with the lowest daily power consumption is established.The fuzzy control algorithm and the improved glowworm optimization algorithm are utilized respectively to correct the compensation and to solve the optimal solution of the objective function.The simulation results demonstrate that the proposed temperature-humidity optimization configuration strategy of the vending machine can greatly reduce the energy consumption of devices and improve the economy of the system.
Keywords/Search Tags:Vending machine, Temperature and humidity control, Fuzzy decoupling, Glowworm swarm optimization algorithm, Optimal allocation strategy
PDF Full Text Request
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