Data traceability verification method and system based on Internet of Things and block chain

Abstract

The invention relates to the technical field of garbage classification, and particularly discloses a data traceability verification method and system based on the Internet of Things and a block chain. The method comprises an identity recognition generation step, an identity verification step, a traceability information generation step, a classification verification step and a scheme rectification step. The method comprises the steps of obtaining user identity information, generating an identity identification tag, performing identity verification when a user throws garbage, obtaining the type of the garbage to be thrown by the user after the verification is passed, printing a traceability code on a garbage bag, and controlling the opening of a garbage can of the corresponding type. After the garbage classification condition is checked, the user information of garbage misclassification can be known by scanning the traceability code, a related rectification scheme is formulated, and the rectification scheme and the user identity identification tag are stored in an associated manner, so that the user can obtain the rectification scheme associated with the identity identification tag when throwing garbage next time and carrying out identity verification; garbage can be thrown only after a rectification scheme is executed, and the consciousness of garbage classification is improved for users.

Description

Technical field [0001] The present invention relates to the field of garbage sorting technologies, and more particularly to a data trace source verification method and system based on the Internet of Things and block chains. Background technique [0002] Garbage classification refers to the deposit of garbage sorting, classification, and classification, and reducing waste pollution, protecting the ecological environment, reducing the land use rate, turning waste into treasure, effectively utilizing resources, etc. benefit. The current garbage cast point is mostly printed on the trash bins on different colors, but in the actual implementation process, whether each user can carry out garbage sorting, whether it is properly labeled, and cannot be verified and verified. The garbage classification is performed, depending on the user's consciousness, but due to the lack of user garbage sorting awareness, the garbage is still classified, and the effect of garbage classification is not p...

AI Technical Summary

Problems solved by technology

At present, most of the garbage disposal points are printed with garbage sorting signs on different color trash cans, but in the actual implementation process, whether each user can sort garbage and whether it is placed correctly cannot be verified and verified.

Garbage classification depends entirely on the user's self-consciousness, but due to the lack of awareness of users' garbage classification, it still leads to random classification of garbage, which cannot achieve the effect of garbage classification, and requires specific supervisors to guide and supervise

However, this method requires supervisors to supervise at the garbage disposal point at all times, and the labor cost is too high. Traceability information of garbage bags

However, the existing garbage traceability system can only know the traceability information of each garbage, but it does not provide a solution to the wrong classification of garbage, and cannot improve users' awareness of garbage classification.

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