Van-type truck loading rate management method based on Internet of things cloud calculating and system thereof

Abstract

An embodiment of the invention provides a van-type truck loading rate management method based on Internet of things cloud calculating and a system thereof. The system comprises single object volume measurement equipment, compartment loading rate measurement equipment, an intelligent terminal and a cloud server, wherein the single object volume measurement equipment is used for acquiring a three-dimensional size of an object to be loaded; the single object volume measurement equipment is connected to the cloud server; the compartment loading rate measurement equipment is used for acquiring a spare space of a truck through an ultrasonic sensor array arranged in a van-type truck; the intelligent terminal is used for connecting the compartment loading rate measurement equipment and the cloud server; the intelligent terminal is connected to the compartment loading rate measurement equipment through a Bluetooth communication module and is connected to the cloud server through a data communication module; and the cloud server receives the spare space in the van-type truck and a volume of the object to be loaded, determines a loadable amount in the van-type truck and pushes to the intelligent terminal, wherein the spare space is measured by the compartment loading rate measurement equipment and the volume is measured by the single object volume measurement equipment.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a method and system for managing the loading rate of van trucks based on cloud computing of the Internet of Things. Background technique [0002] The vehicle loading rate refers to the ratio of the volume of the transport vehicle loaded with goods to the available volume, and is usually used to indicate the utilization rate of the vehicle space. At present, the layout and installation of vans in logistics and transportation is usually determined by the experience of the loader. Therefore, there is a common problem of poor space utilization and the vehicle's carrying capacity cannot be fully utilized. Existing logistics companies generally adopt extensive management methods, that is, they rely entirely on the experience of loading workers for loading, so they can only rely on estimates to determine the required vehicles. This extensive management method often results in a...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem that the vehicle loading demand cannot be predicted in advance in the prior art, the technical problem to be solved by the embodiments of the present invention is to propose a simpler and more accurate method and system for managing the loading rate of van trucks based on cloud computing of the Internet of Things, which can be used in Determine how to prepare the vehicle while loading

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