Comprehensive decision-making model of crowdsourcing operation and maintenance of charging stations based on computer aided technology

Abstract

With the vigorous development of electric vehicles and the arrival of the era of big data, electric vehicles and related data are becoming more and more perfect. At present, the research method of electric vehicle charging demand prediction is mainly based on the travel chain, traffic network, combined with users' charging choice behavior and other factors to simulate their charging demand. How to accurately describe the travel chain, traffic network and other factors is the focus and difficulty of the research. In the context of the Internet, it has contributed to the demand for charging at any time. In order to meet this demand, the establishment of a new charging distribution service mode has improved people's charging methods, but the resulting number of charging station(CS) distribution orders has increased significantly. The pressure of production and distribution of CSs has risen steadily, and crowdsourcing operation and maintenance mode came into being. The decision planning and intervention measures to encourage order receiving are studied respectively for the two cases of multi person order receiving and no one order receiving in crowdsourcing operation and maintenance distribution. Under the condition of multiple people grabbing orders, a comprehensive decision-making model based on computer-aided technology(CAT) is established, and an example of the decision-making model is analyzed to verify the scientificity and effectiveness of the model.