Intelligent solid waste sorting management system

By using a full-link data acquisition module and a carbon-economic dual-objective optimization algorithm, combined with consortium blockchain evidence storage technology, the problems of insufficient data integration and inaccurate carbon footprint accounting in traditional solid waste sorting systems have been solved, achieving synergistic optimization of carbon emission reduction and economic benefits and reliable system management.

CN121961115APending Publication Date: 2026-05-01JIANGSU YUANCHANG ENVIRONMENTAL PROTECTION TECH CO LTD
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Patent Information

Application Number
CN202610064869.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-19
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Traditional solid waste sorting systems lack end-to-end data integration capabilities, have inaccurate carbon footprint accounting, lack a coordinated mechanism for carbon-economic dual objectives, have unreliable emission reduction certificates, and have untimely equipment status feedback, making it difficult to meet the credibility requirements of carbon trading.

Method used

A full-chain data acquisition module is constructed to integrate material characteristics, transfer information and economic data from multiple platforms. Combined with a carbon-economic dual-objective optimization algorithm, a consortium blockchain distributed ledger is used to achieve tamper-proof evidence of carbon emission reductions. The GRU algorithm is used to monitor equipment status in real time, forming a data-driven trusted traceability mechanism.

Benefits of technology

It achieves synergistic optimization of carbon emission reduction and economic benefits, improves sorting efficiency and accuracy, ensures credible evidence of carbon emission reduction and system operational stability, and meets the compliance requirements of carbon trading.

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Abstract

The invention discloses an intelligent solid waste sorting management system, and relates to the technical field of solid waste resource utilization, and the system comprises a full-link data acquisition module for integrating multi-dimensional data; a carbon footprint accurate accounting module calculates material carbon emission and emission reduction coefficients, and a parameter library is dynamically updated; the AI dual-objective optimization decision module is combined with a carbon-economic objective to generate a sorting instruction; the intelligent sorting execution module is used for accurately sorting and collecting; the carbon emission reduction evidence storage transaction and state feedback module is used for accounting the emission reduction amount, performing evidence storage transaction and feeding back the equipment state to form closed-loop management; according to the invention, through full-link data acquisition and carbon footprint accurate accounting, collaborative optimization of carbon emission reduction and economic benefits is realized, and the goal of dynamically matching enterprise carbon reduction is achieved; and meanwhile, a credible sorting management closed loop is constructed by utilizing distributed account book evidence storage and equipment state monitoring, so that the sorting precision and the system stability are improved, and reliable data support is provided for an enterprise to participate in carbon transaction.
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