An intelligent land reclamation monitoring method and system based on the Internet of Things

By combining IoT technology with satellite remote sensing and sensor networks, soil parameters are monitored in real time, and personalized remediation strategies are generated. This solves the problems of insufficient data and inaccurate management in traditional land remediation methods, and realizes the sustainable use of land resources and ecological protection.

CN122288136APending Publication Date: 2026-06-26CHENGDU RESTAR ENG DESIGN CONSULTING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHENGDU RESTAR ENG DESIGN CONSULTING CO LTD
Filing Date
2026-05-26
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Traditional land remediation methods lack continuous, high-density data support, leading to inaccurate soil quality assessments, inability to provide timely early warnings and differentiated responses, a lack of personalized remediation measures, difficulty in achieving precise management, and limitations on remediation efficiency and sustainable development.

Method used

An IoT-based intelligent land remediation monitoring method is adopted, which uses satellite remote sensing data and sensor networks, combined with deep learning models, to monitor soil parameters in real time, generate personalized remediation strategies, and implement interventions through automated equipment to optimize the sensor network topology.

Benefits of technology

It has enabled intelligent and precise management of the land consolidation process, improved the real-time nature and coverage of soil data collection, provided personalized land degradation risk assessment and consolidation strategies, and enhanced agricultural production efficiency and ecological protection effectiveness.

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Abstract

This application relates to an IoT-based intelligent land remediation monitoring method and system. The monitoring method includes: acquiring satellite remote sensing elevation data and historical soil composition data of the land area to be monitored; dividing the land area to be monitored into multiple grid units and assigning grid identifiers; deploying fixed soil sensor nodes and mobile drone nodes to generate a sensor network topology; collecting real-time soil parameters of each grid unit and performing noise filtering and anomaly detection to generate a soil composition dataset; inputting the soil composition dataset and historical soil composition data into a cloud-based prediction model to output a land degradation risk score and remediation strategy; controlling the execution equipment to perform land remediation operations and monitoring changes in soil parameters after execution in real time; updating the parameters of the cloud-based prediction model and optimizing the sensor network topology based on the deviation between the changes in soil parameters after execution and the expected values. This application improves agricultural production efficiency and soil health.
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