An ecological green land intelligent monitoring system based on multi-modal data

The intelligent monitoring system for ecological green spaces using multimodal data solves the problem of limited ecological monitoring coverage caused by the collection of single data types, realizes multi-scale identification and dynamic analysis of ecological status, improves data fusion capabilities and spatiotemporal response, and supports refined management and maintenance.

CN122196928BActive Publication Date: 2026-07-24JIANGSU JINGZHI ENVIRONMENTAL CONSTRUCTION CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU JINGZHI ENVIRONMENTAL CONSTRUCTION CO LTD
Filing Date
2026-04-20
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing ecological green space monitoring systems rely on single data types for data collection, resulting in limited spatial and temporal coverage, a simple data structure, an inability to capture the complex relationships between ecological elements, susceptibility to communication interference, frequent interruptions in information flow, slow data updates, difficulty in timely capture of environmental change signals, and easy omission of local anomalies. Consequently, they are ill-suited to support dynamic analysis and detailed management of large-scale ecological conditions.

Method used

The intelligent monitoring system for ecological green spaces, which utilizes multimodal data, achieves efficient collaboration of remote sensing, UAV, and ground node data through multi-source monitoring alignment, ecological status baseline construction, ecological status discrimination, and key area identification modules. It constructs multi-dimensional ecological status representations and periodic change characteristics, and optimizes monitoring task configuration by combining spatial continuity discrimination and historical trend summarization.

Benefits of technology

It enables multi-scale identification and dynamic analysis of ecological monitoring data, improves data fusion capabilities and spatiotemporal response levels, supports refined management and maintenance, timely captures ecological change signals, and ensures real-time correspondence between monitoring results and actual ecological changes.

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Abstract

The present application relates to the technical field of ecological green land monitoring, in particular to an ecological green land intelligent monitoring system based on multi-modal data, which comprises a multi-source monitoring alignment module, an ecological state baseline construction module, an ecological state discrimination module, a key area identification module and a monitoring strategy updating module. The present application realizes efficient cooperation of remote sensing, unmanned aerial vehicle and ground node data through multi-modal sensing means, constructs multi-dimensional ecological state representation and periodic change characteristics, combines spatial continuity discrimination and historical trend induction, forms multi-scale identification of ecological types and change levels between regions, supports intelligent screening and dynamic monitoring of the concerned area, links data acquisition, processing and task allocation processes, optimizes monitoring task configuration in real time, captures ecological change signals in time, improves the data fusion capability and spatio-temporal response level of ecological monitoring, and provides dynamic data support for fine management and maintenance.
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