Farmland heavy metal restoration path planning system based on unmanned aerial vehicle remote sensing data driving

Through the farmland heavy metal repair path planning system driven by drone remote sensing data, the global optimal planning problem of spatial synergy of repair measures in the existing technology is solved, and the scientific quantification and global optimization of repair measures are achieved, which improves the guidance and operability of repair construction.

CN120471254AActive Publication Date: 2025-08-12广东省农业科学院农业质量标准与监测技术研究所
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Patent Information

Application Number
CN202510976890.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-16
Publication Date
2025-08-12
Estimated Expiration
2045-07-16

AI Technical Summary

Technical Problem

The prior art is difficult to generate a global optimal repair implementation path planning scheme that takes into account the overall spatial synergy of repair measures in heavy metal pollution areas, and the lack of deep mining and comprehensive application of high-resolution spatial data, resulting in inefficiency of the repair scheme and possible secondary pollution.

Method used

The farmland heavy metal repair path planning system driven by drone remote sensing data is achieved through the data acquisition module, pollution repair sub-region division module, attribute identification module, repair means evaluation module, pollution repair sub-region correlation effect evaluation module, composite repair coefficient calculation module and global repair optimization module to achieve scientific quantification and global optimization of the spatial joint impact of repair measures.

Benefits of technology

It has realized the scientific quantification of the joint impact of the restoration measures, generated the global optimal restoration implementation strategy, improved the on-site guidance and operability of restoration construction, and provided strong intelligent decision-making support for efficient, accurate and coordinated restoration of heavy metal pollution in complex farmlands.

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Abstract

The invention discloses a farmland heavy metal restoration path planning system based on unmanned aerial vehicle remote sensing data driving, and relates to the technical field of farmland restoration, and the system comprises a data acquisition module which is configured to collect real-time remote sensing image data; the pollution remediation sub-region division module is configured to divide pollution remediation sub-regions; the attribute identification module is configured to identify land parcel attribute information; the restoration means evaluation module is configured to evaluate an initial restoration coefficient; the pollution remediation subarea association effect evaluation module is configured to evaluate a remediation migration effect; the composite repair coefficient calculation module is configured to comprehensively evaluate a composite repair coefficient; the global remediation optimization module is configured to globally plan a heavy metal remediation means implemented in each pollution remediation sub-region; and the scheme output module is configured to output a repair path of each heavy metal repair means. The method has the advantages that powerful intelligent decision support is provided for efficient, accurate and synergistic remediation of heavy metal pollution of the complex farmland.
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