Intra-field vehicle distribution system based on big data

Abstract

The invention discloses an intra-field vehicle distribution system based on big data. The intra-field vehicle distribution system comprises a data analysis server, a vehicle condition acquisition subsystem, a use record subsystem, a dispatching instruction transmitting system and a data storage system. The data analysis server is connected with the vehicle condition acquisition subsystem, the userecord subsystem, the dispatching instruction transmitting system and the data storage system. The data analysis server is used for comprehensive data acquisition and dispatching use of the vehicle inthe field through the dispatching instruction transmitting system. The vehicle condition acquisition subsystem is used for acquiring the vehicle condition information of the vehicle in the field. Theuse record subsystem is used for recording the use state of the vehicle in the field. The dispatching instruction transmitting system is used for transmitting the dispatching distribution instructionto the vehicle in the field. The data storage system is used for storing the acquired data. The distribution efficiency and the operation level of the vehicle in the field can be enhanced by the intra-field vehicle distribution system based on the big data.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a big data-based on-site car distribution system. Background technique [0002] In a golf course, the management and scheduling of vehicles on the course is an important part of daily management. The on-site vehicles run hundreds of times a day, resulting in high operating costs and difficult management. The current status quo is that after the golf carts depart from the golf garage, the scheduling room cannot know the location of the golf carts. The management personnel of the course are exhausted, and for the golf guests, there are constant patrol personnel to disturb, which undoubtedly reduces the service level. Moreover, the "broken down" of the golf cart in the middle will seriously affect the customer's consumption experience, and it is necessary to arrange rescue, which will significantly increase the operating cost. [0003] In order to solve the above-mentioned p...

AI Technical Summary

Problems solved by technology

On-site vehicles operate hundreds of times a day, resulting in high operating costs and difficult management

The current status quo is that after the golf carts depart from the golf garage, the scheduling room cannot know the location of the golf carts. The management staff of the golf course are exhausted, and for the golf guests, there are constant patrol personnel to disturb, which undoubtedly reduces the service level

Moreover, the "broken down" of the golf cart will seriously affect the customer's consumption experience, and it is necessary to arrange rescue, which will significantly increase the operating cost

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