Dynamic monitoring and assessment system for natural resources based on multi-source spatiotemporal data fusion

CN121481270BActive Publication Date: 2026-06-30JILIN WATER RESOURCE & HYDROPOWER CONSULTATIVE CO OF P R CHINA +1

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: JILIN WATER RESOURCE & HYDROPOWER CONSULTATIVE CO OF P R CHINA
Filing Date: 2026-01-07
Publication Date: 2026-06-30

AI Technical Summary

Technical Problem

Existing natural resource monitoring and assessment technologies suffer from a contradiction between monitoring timeliness and data acquisition costs. They are difficult to identify surface camouflage and lack associated risk assessments based on geographic topology, resulting in low identification rates of violations and an inability to quantify the ecological risks of individual plots to surrounding areas.

Method used

A dynamic monitoring and assessment system for natural resources based on multi-source spatiotemporal data fusion is adopted, including a semantic mapping construction module, a perception strategy generation module, a state evolution modeling module, an energy quality fingerprint verification module, and a deviation risk analysis module. The system identifies land parcel status through multi-source data fusion and nonlinear mapping model, constructs spatiotemporal semantic distance, and assesses risk propagation.

Benefits of technology

It enables the automatic acquisition of high-quality data during critical time windows, reduces the false judgment rate, can identify surface camouflage and quantify the associated risks of illegal activities to surrounding areas, and provides a management basis for comprehensive system governance.

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Abstract

This invention relates to the field of natural resource monitoring and assessment technology, and discloses a dynamic monitoring and assessment system for natural resources based on multi-source spatiotemporal data fusion. The system includes: a semantic mapping module that parses business documents to generate constraint rules and constructs a basic spatiotemporal tensor; a perception strategy module that monitors the evolution of state nodes and generates acquisition strategy instructions to drive external sensors to acquire enhanced perception data; a state evolution module that deduces expected legal state sequences and reconstructs actual physical state sequences based on enhanced perception data; an energy quality fingerprint module that uses time-series energy quality data to establish a nonlinear mapping and calculates a fingerprint consistency index to verify the authenticity of physical states; and a deviation risk module that combines the consistency index to calculate spatiotemporal semantic distance and propagation risk values based on topological networks, generating resource audit reports. This invention effectively solves the problems of insufficient spatiotemporal accuracy of monitoring data and difficulty in identifying spoofed compliance through event-driven active perception and cross-modal implicit energy quality verification.

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