Intelligent logistics Internet of Things system

Abstract

The invention discloses an intelligent logistics Internet of Things system, and the system comprises a mass package monitoring terminal cluster which is used for carrying out the full-parameter supervision of a package cluster, and transmitting the state characteristics of the package cluster and necessary original data to a multi-scene intelligent gateway cluster; a multi-scene intelligent gateway cluster used for dynamically organizing mass package monitoring terminals in the local Internet of Things, collecting sensing characteristic data sent by the mass package monitoring terminals, carrying out regional analysis, data screening and early warning alarm on logistics information, and uploading data which must report a far-end cloud service to the logistics supervision cloud service platform; a logistics supervision cloud service platform used for obtaining supervision data of the mass package monitoring terminal cluster managed by the multi-scene intelligent gateway cluster, carrying out deep analysis and big data mining, realizing whole network supervision and strategy service, and providing access service for the multi-party supervision subject terminal; and a multi-party supervision subject terminal used for providing supervision service for the multi-party supervision subject user.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to an intelligent logistics Internet of Things system. Background technique [0002] With the development of the manufacturing industry and the upgrading of consumption, the dependence of various industries such as national production and life and national emergency management on logistics has increased rapidly, which poses a great challenge to the logistics service and supervision industry. Accidents such as damage, loss, and leakage of food, medicine, equipment, hazardous chemicals, and emergency supplies during transportation, warehousing, and distribution occur frequently, but the existing logistics service system lacks effective real-time supervision, early warning and alarm, and accountability traceability means, especially it is difficult to realize mass fine-grained package supervision. [0003] In order to solve the problem of parcel supervision, a real-time monitorin...

AI Technical Summary

Problems solved by technology

[0005] 1. There is no device or method for how to reduce power consumption, improve integration, and make multi-parameter monitoring of small packages with limited weight and volume possible;

[0006] 2. There is no device or method for how to always achieve effective data transmission during the switching of different stages of the cargo life cycle, such as transportation, transit, warehousing, and distribution;

[0007] 3. There is no device or method for how to save labor costs in data judgment, communication maintenance, installation and use, etc., and ensure the efficiency of logistics supervision and cost control;

[0008] 4. There is no device or method for how to enable multiple regulatory entities to participate in regulation and learn the results in a real-time, convenient and effective manner

[0009] It is precisely the above-mentioned key practical problems that have not been resolved, leading to the fact that the existing logistics monitoring devices and products can only be used for full-scale monitoring at the box level, or monitoring for special vehicles, but cannot achieve refined package supervision, which limits logistics supervision. The accuracy and performance of the

Images