Internet of Things-based logistics intelligent information management system

Abstract

The invention discloses an Internet of Things-based logistics intelligent information management system. The system includes an intelligent electronic tag which is directly connected with goods and isused for acquiring the status information and position information of the goods in a transport process in real time, a data collector which obtains the status information and location information ofthe goods from the intelligent electronic tag and uploads the information to a logistics information management center through a public network, and the logistics information management center which stores, monitors and analyzes the status information and location information of the goods reported by the data collector, regularly compares the received status information of the goods with a presetsafety threshold range, and sends alarm information to a logistics dispatch platform or dispatcher in an area where the goods are located when the received status information exceeds the safety threshold range. Thus, with the system adopted, the full-process tracing and real-time monitoring of the quality and safety of the goods during the transport process, visualized management during a logistics process and logistics information sharing can be ensured; and by means of real-time monitoring, an accident can be detected timely, and an alarm can be given out immediately.

Description

technical field [0001] The invention relates to an Internet of Things technology, in particular to a logistics intelligent information management technology based on the Internet of Things. Background technique [0002] In 2015, the total amount of national logistics reached 202.04 trillion yuan, a year-on-year increase of 5.8%. However, in stark contrast to the vigorous development of China's logistics industry, the informatization of my country's logistics industry is still lagging behind. According to a survey by the China Warehouse Association, 50% of Chinese logistics companies use information systems to better solve visual management. Among them, 22.3% can manage visually, and 27.7% can't solve visual management at all. Even among the very small domestic logistics companies that have partially used IoT technology, 40.3% use outdated paper barcodes, 31.8% use GPS positioning, 9.3% use mobile phone positioning, and use the most advanced radio frequency Identification (R...

AI Technical Summary

Problems solved by technology

At the same time, due to the lack of logistics service systems such as order management, goods tracking, goods sorting and transportation management, information is blocked

The current business of logistics enterprises focuses on transportation, lack of overall planning and management, high empty load rate, and serious waste

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