A land remediation type-based carbon effect quantification evaluation system and method

By establishing a cross-layer semantic association module encompassing the regional semantic layer, the remediation project semantic layer, and the parameter semantic layer, and combining uncertainty descriptors and constraint rules, the problem of insufficient parameter applicability verification in the existing system was solved, thereby achieving accuracy and applicability in the quantitative assessment of carbon effects.

CN122288515APending Publication Date: 2026-06-26LIANYUNGANG LAND CONSOLIDATION CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
LIANYUNGANG LAND CONSOLIDATION CENT
Filing Date
2026-05-26
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

The existing land consolidation carbon effect assessment system lacks the ability to automatically verify the applicability of parameters, leading to frequent misuse of parameters and making it difficult to adapt to my country's complex and diverse natural geographical zoning and differentiated consolidation models.

Method used

A carbon effect quantitative assessment system based on land consolidation type is adopted. Through cross-layer semantic association modules of regional semantic layer, consolidation project semantic layer and parameter semantic layer, combined with uncertainty descriptor ontology and constraint rule set, the automatic screening and applicability verification of carbon factor parameters are realized.

Benefits of technology

It achieves accurate matching and applicability verification of carbon factor parameters, avoids parameter misuse, improves the accuracy and applicability of the assessment, and supports low-carbon land consolidation planning.

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Abstract

This invention relates to the field of land consolidation carbon effect assessment technology, and discloses a system and method for quantitative assessment of carbon effects based on land consolidation type. The system includes a regional semantic layer module, a consolidation project semantic layer module, and a parameter semantic layer module. It also includes a parameter semantic processing module for constructing a structured semantic representation of carbon factor parameters. These carbon factor parameters are associated with an uncertainty descriptor ontology, which encapsulates metadata information characterizing the statistical uncertainty and applicability constraints of the carbon factor parameters. This system and method for quantitative assessment of carbon effects based on land consolidation type establishes a semantic mapping relationship between the regional semantic layer, the consolidation project semantic layer, and the parameter semantic layer through a cross-layer semantic association module. This accurately determines the applicability of parameters, avoids assessment bias caused by parameter misuse, and effectively solves the problems of low coverage and poor regional adaptability of localized parameters.
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