Waste cooking oil management method and system

Through the Internet of Things and blockchain technology, the entire process of traceability management of waste cooking oil is achieved, which solves the problem of incomplete information records and improves management efficiency and safety.

CN120672355APending Publication Date: 2025-09-19GUANGDONG GUANQING ENVIRONMENTAL PROTECTION TECH CO LTD
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Patent Information

Application Number
CN202510732428.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-09-19

AI Technical Summary

Technical Problem

The existing management of waste cooking oil lacks systematic and technical support, resulting in incomplete information records, difficulty in tracking the source and destination of waste oil, and problems of low management efficiency and high risks.

Method used

By deploying IoT sensors to collect data on the source of waste oil, using cloud databases and image recognition technology to classify it, traceable waste oil identity information is generated, and blockchain technology is used to record location status data during storage and transportation, forming an unalterable flow record.

Benefits of technology

It realizes the traceability management of waste oil from its generation to its treatment, effectively prevents the risk of illegal circulation, provides a reliable basis for accountability, and improves the standardization and safety of waste oil treatment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a waste cooking oil management method, which comprises the following steps: after a classification label is adjusted, generating a unique tracing code for each piece of waste oil data, and binding the code with a source file and the classification label to obtain traceable waste oil identity information; according to the circulation record, monitoring the whole path of the waste oil from storage to treatment in real time, if the path data is not consistent with a preset path, triggering an abnormal alarm, and determining a potential illegal circulation risk point; for abnormal alarm data, related waste oil identity information and circulation records are automatically called, a risk assessment report is generated through data comparison and analysis, and whether the abnormity relates to a responsibility attribution problem is judged; after a risk assessment report is obtained, the report and the waste oil identity information are associated and stored in a cloud database, and a complete process file is formed for subsequent query and responsibility tracing.
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