Logistics vehicle vehicle-mounted navigation system based on big data

Abstract

The invention discloses a logistics vehicle vehicle-mounted navigation system based on big data, and relates to the field of logistics transportation. The system comprises a data analysis module, a controller, a reminding module, afuel quantity monitoring module, a management module and a behavior monitoring module, wherein the data analysis module is used for receiving vehicle data and analyzing the vehicle data to obtain a deviation value of the vehicle, a driver can be prompted to adjust a driving route in time according to the deviation value, and the delivery time of goods is prevented from being delayed; the fuel quantity monitoring module is used for monitoring the fuel quantity of the vehicle in real time, and the management module is used for receiving a refueling signal and distributing the refueling signal to a corresponding refueling station for refueling; the corresponding refueling station can be reasonably recommended for refueling according to the distribution value, the refueling efficiency is improved, and the delivery time of goods is prevented from being delayed; and the behavior monitoring module is used for monitoring the condition of the driver in real time in the driving process, so that the risk of accidents caused by fatigue driving of the driver is avoided, and the personal safety of the driver is effectively protected.

Description

technical field [0001] The invention relates to the field of logistics transportation, and more specifically, relates to a logistics vehicle vehicle navigation system based on big data. Background technique [0002] At present, with the growth of the global economy, especially with the development of e-commerce, more and more goods are delivered from one place to another every day, and logistics services are playing an increasingly important role in people's social and economic life. increasingly important role. [0003] In real life, the logistics distribution personnel drive the logistics vehicles loaded with goods to deliver the goods safely to the user's residence. With the development of online shopping, more and more goods need to be distributed across cities and provinces; logistics and distribution personnel often need to drive long distances; the navigation system function of logistics vehicles is relatively simple at present, and when the fuel of logistics vehicle...

AI Technical Summary

Problems solved by technology

With the development of online shopping, more and more goods need to be distributed across cities and provinces; logistics and distribution personnel often need to drive long distances; the navigation system function of logistics vehicles is relatively simple at present, and when the fuel of logistics vehicles is insufficient, it cannot be reasonably recommended Refueling at the corresponding gas station often causes logistics vehicles to stay on the road and wait for the support of passing vehicles, which will delay the delivery time of the goods and bring a lot of inconvenience to the logistics distribution personnel; at the same time, the logistics distribution personnel are prone to fatigue after long-distance driving. The existing navigation system lacks status monitoring for logistics delivery personnel, and cannot provide fatigue alarms for the status of logistics delivery personnel, which increases the risk of delivery personnel driving; and there is no real-time analysis and early warning based on the deviation value of logistics vehicles, resulting in logistics failures. The problem that the vehicle deviates from the route and delays the delivery time of the goods

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