Intelligent logistics information real-time collaborative management system and a cloud logistics platform based on the Internet-of-Things and cloud computing

Abstract

The invention discloses an intelligent logistics information real-time collaborative management system and a cloud logistics platform based on the Internet-of-Things and cloud computing, and the method comprises the steps: obtaining a merchant address and a delivery address in detailed order information of to-be-transported logistics, and determining a flight route of the logistics; and counting the flight time period of the to-be-transported logistics flight passing through each region, obtaining the maximum predicted data of each weather parameter in the flight time period passing through each region, and comparing and analyzing whether the maximum predicted data of each weather parameter in each passing region affects the flight of the logistics flight. According to the invention, all weather parameters of all passing regions influencing the flight of the logistics flights are counted, weather types of all passing regions influencing the flight of the logistics flights are analyzed, meanwhile, comprehensive influence coefficients of all passing regions influencing the flight of the logistics flights are calculated and displayed, and related personnel adjust corresponding logistics arrival time. Therefore, the accuracy of predicting the logistics transportation arrival time is improved, and the basic requirements of the user are met.

Description

technical field [0001] The invention relates to the field of real-time management of logistics information, and relates to a real-time collaborative management system of smart logistics information and a cloud logistics platform based on the Internet of Things and cloud computing. Background technique [0002] Logistics shipping is currently a very widely used logistics transportation method. Due to its fast transportation speed and high accuracy, it has quickly become the mainstream method of logistics transportation. However, logistics shipping is easily affected by the weather, resulting in the arrival time of logistics transportation. Therefore, real-time adjustment of the arrival time of logistics transportation is an urgent problem to be solved. [0003] At present, most of the existing logistics information coordination management adopts personnel analysis management, that is, personnel conduct analysis based on work experience and refer to a large amount of historica...

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Problems solved by technology

[0002] Logistics shipping is currently a very widely used logistics transportation method. Due to its fast transportation speed and high accuracy, it has quickly become the mainstream method of logistics transportation. However, logistics shipping is easily affected by the weather, resulting in the arrival time of logistics transportation. Accurate, therefore, the real-time adjustment of logistics transportation arrival time is an urgent problem to be solved

[0003] At present, most of the existing logistics information coordination management adopts personnel analysis management, that is, personnel conduct analysis based on work experience and refer to a large amount of historical transportation data, and estimate the arrival time of logistics transportation, but the standards of personnel estimation are different, and there is a large error in the estimated time As a result, the accuracy and reliability of the estimated arrival time of logistics transportation are reduced. At the same time, the personnel cannot analyze the real-time weather types of the areas passing through the flight route of the logistics flight, so that it is impossible to accurately judge the impact of the weather type of each passing area on the flight of the logistics flight. , leading to the inability to adjust the arrival time of logistics and shipping in a timely and effective manner, thereby reducing the user's sense of expectation and experience, and failing to meet the basic needs of users. In order to solve the above problems, a real-time collaborative management system for smart logistics information based on the Internet of Things and cloud computing is now designed. And cloud logistics platform

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