Font Size: a A A

Design And Implementation Of Campus Contactless Delivery And Pick-up System Under The Epidemic Situation

Posted on:2024-05-23Degree:MasterType:Thesis
Country:ChinaCandidate:P Z ShaoFull Text:PDF
GTID:2568307136495294Subject:Computer technology
Abstract/Summary:PDF Full Text Request
The outbreak of the new crown epidemic has had a huge impact on our country’s traditional B2 C logistics distribution service model,and it has also brought important development opportunities for the emerging contactless service model.The non-contact service model aims to meet people’s living needs during the epidemic,and at the same time reduce the potential risk of virus transmission caused by close contact between people during the traditional logistics distribution and pickup process.At present,contactless service models represented by unmanned delivery vehicles,honeycomb self-pickup cabinets,unmanned post stations,etc.and safer and more efficient offline pickup methods have become hot spots in research and application in the field of delivery and pickup.In recent years,with the rapid development of our country’s e-commerce business,online shopping has become one of the important shopping methods for people.Coupled with the impact of the epidemic,more and more people choose to use online shopping to reduce going out.There are a large number of students in our country’s colleges and universities,the average daily package volume is large,and the crowds in the campus are dense,which is very prone to the risk of outbreaks.Since the outbreak of the epidemic,problems such as difficulty in campus express delivery,difficult pickup,and high risk in the delivery and pickup process have become more prominent and need to be resolved urgently.Therefore,based on the contactless service model and its ideas,this paper proposes to establish a set of campus contactless delivery and pick-up system.By improving the existing campus delivery pick-up mode,it is expected to solve the current campus delivery pick-up problem to a certain extent.Aiming at the campus pick-up scenario under the epidemic,this paper proposes a campus mutual-aid pick-up method based on multiple simultaneous pickup.The method realizes the mutual aid pick-up in the group by adopting the mutual-aid pick-up mode and the task assignment mechanism,and improves the mutual-aid pick-up efficiency in the group by adopting the exclusive shelf mode and the group shelf mode.Compared with the traditional self-service pick-up mode,non-exclusive shelf mode,and express random putting on shelves,this method can effectively improve the user’s pick-up efficiency and reduce the risk of close contact when the user picks up the item.Aiming at the campus delivery scenario under the epidemic,this paper adopts the unmanned delivery method to realize the campus contactless delivery,and proposes a path planning method based on the epidemic risk assessment adaptive delivery strategy.By establishing an epidemic risk assessment model based on new cases and population flow and an express distribution strategy model for different epidemic risks,the method successfully constructed a path planning model based on the epidemic risk assessment adaptive distribution strategy,and applied the method based on damage repair operations.The improved genetic algorithm is used to solve the model,so as to obtain the path planning results that meet the needs of the current epidemic situation.Finally,this paper applies the proposed campus mutual-aid pick-up method based on multi-piece pick-up and the route planning method based on the epidemic risk assessment adaptive distribution strategy to the mutual-aid pick-up and route planning modules of the campus contactless delivery pick-up system,and the system was implemented and tested.The test results show that the system has strong practicability and helps to solve the problem of campus delivery and pick-up under the epidemic.
Keywords/Search Tags:Contactless delivery, Mutual pick-up, Adaptive shipping strategy, Route planning, Improved genetic algorithm
PDF Full Text Request
Related items