Carrying vehicle loading capacity scheduling method based on smart park and central cloud platform

Abstract

The invention discloses a carrying vehicle loading capacity scheduling method based on a smart park, the method is applied to a carrying vehicle scheduling center cloud platform, and the method comprises the following steps: S1, carrying out pickup vehicle information input before pickup of a carrying vehicle; S2, enabling a brake system to autonomously recognize a license plate to complete the entrance and exit of the vehicle; S3, determining a driving path network of the current park based on the planned driving path of the carrier vehicle in the current park; S4, displaying the vehicle information and the loading capacity by the information interaction terminal; and S5, detecting the wheels by using the electronic scale monitor, immediately displaying a weighing result to a driver, and printing a voucher by using the information interaction terminal. According to the carrying vehicle loading capacity scheduling method based on the smart park and the central cloud platform, through system order allocation and time-phased reservation, congestion is reduced, scheduling is carried out in advance, the loading and unloading efficiency is improved, the scheduling management system is matched with cloud data to record data in real time, the information acquisition accuracy is improved, and the labor cost is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of smart parks, in particular to a smart park-based method for dispatching vehicle loads and a central cloud platform. Background technique [0002] A smart park refers to a standard building or group of buildings with complete supporting facilities, a reasonable layout, and the ability to meet the needs of a specific industry for production and scientific experiments. Such as industrial parks, industrial parks, logistics parks and technology parks. Taking the logistics park as an example, a large number of logistics vehicles flood in and out of the park every day, including delivery vehicles for material procurement and delivery vehicles for finished product sales. Hundreds of large freight vehicles gather inside and outside the park, which not only occupy road resources, but also cause road congestion. Management chaos also brings safety hazards to enterprises and pressure on social traffic. The traditio...

AI Technical Summary

Problems solved by technology

Taking the logistics park as an example, a large number of logistics vehicles flood in and out of the park every day, including delivery vehicles for material procurement and delivery vehicles for finished product sales. Hundreds of large freight vehicles gather inside and outside the park, which not only occupy road resources, but also cause road congestion. Management chaos also brings security risks to enterprises and pressure on social traffic

The traditional license plate recognition in my country's logistics parks manages the entry and exit of vehicles. It is impossible to classify and charge the vehicles entering and exiting. In the business process of heavy, loading (unloading), leaving the factory, etc., under the traditional method, the driver needs to fill in the documents by hand, run errands back and forth, and find someone to sign, which takes a long time

On the one hand, the enterprise lost its profits; on the other hand, the efficiency of freight vehicles in the factory was low, and the potential safety hazards increased.

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