Cargo monitoring method based on Internet of Things device and block chain algorithm

Abstract

The invention discloses a cargo monitoring method based on an Internet of Things device and a blockchain algorithm. The method comprises the following steps: obtaining warehouse location information of a warehousing system; receiving pre-warehouse-in information of the goods and carrying out warehouse location planning according to the pre-warehouse-in information and the warehouse location information; receiving goods and carrying out arrival processing according to the pre-warehousing information; according to the pre-warehousing information, unloading the goods after arrival processing; andwarehousing the goods subjected to unloading treatment according to the warehouse location plan. Goods storage locations are confirmed in advance through storage location planning, arrival processingis carried out to complete matching of arrived goods and pre-input pre-warehousing information, further binding is carried out through platform scale operation, warehousing is finally completed, whole-process tracking and monitoring are carried out through the image recognition technology in the whole process, and the technologies of the Internet of Things, image recognition, deep learning and the like are applied. Intelligent and unmanned bulk commodity storage links are realized, the execution efficiency of the storage links is improved, and warehouse-in goods can be better supervised by astorage enterprise.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to a cargo monitoring method based on an Internet of Things device and a block chain algorithm. Background technique [0002] Bulk commodities refer to material commodities that can enter the field of circulation, but are not retail, have commodity attributes and are used for industrial and agricultural production and consumption in large quantities. [0003] In the bulk commodity industry, the warehouse is an important link in the bulk commodity transaction, and it is also a link prone to omissions. For example, the information transmission between the participants in the supply chain is slow and not transparent, and it is easy to be regarded as modification. Disputes or quality issues, difficult to trace, difficult to supervise, and difficult to protect privacy data, can not achieve both data transparency and privacy protection, in addition, the degree of automation is low, and...

AI Technical Summary

Problems solved by technology

[0003] In the bulk commodity industry, the warehouse is an important link in the bulk commodity transaction, and it is also a link prone to omissions. For example, the information transmission between the participants in the supply chain is slow and not transparent, and it is easy to be regarded as modification. Disputes or quality issues, difficult to trace, difficult to supervise, and difficult to protect privacy data, can not achieve both data transparency and privacy protection, in addition, the degree of automation is low, and the supply chain part needs to manually enter data, which is inefficient and error-prone , high cost

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