A linked weather data agricultural situational teaching system

By constructing an agricultural contextual teaching system that links meteorological data, the problems of insufficient meteorological data integration and insufficient dynamic context generation capabilities in existing technologies have been solved. This system enables the generation of dynamic teaching contexts based on real meteorological events, thereby enhancing the scientific and practical nature of agricultural teaching.

CN122201073APending Publication Date: 2026-06-12HEILONGJIANG AGRI ECONOMY VOCATIONAL COLLEGE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HEILONGJIANG AGRI ECONOMY VOCATIONAL COLLEGE
Filing Date
2026-03-16
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

Existing agricultural teaching systems have significant shortcomings in terms of the depth of meteorological data integration, the ability to dynamically generate scenarios, and the authenticity of teaching interactions. They cannot access regional or large-scale real-time and historical meteorological databases, lack dynamic scenario generation mechanisms driven by real meteorological events, and have not established a multi-dimensional linkage model between meteorology, crops, and management measures. Teaching interactions remain in static preset scenarios and cannot reflect the dynamic impact of climate change on agricultural production.

⚗Method used

A closed-loop teaching system is constructed, consisting of a meteorological data access unit, a multi-dimensional coupled modeling unit, a dynamic scenario generation unit, a physical sand table execution unit, and an immersive interaction unit. By accessing the National Meteorological Data Center, regional meteorological observation stations, and historical databases, the system enables meteorological elements to drive the evolution of agricultural teaching scenarios, including meteorological data analysis, multi-dimensional coupled modeling, dynamic scenario generation, physical sand table execution, and immersive interaction.

🎯Benefits of technology

It enables the generation of dynamic teaching scenarios based on real meteorological events, enhancing students' understanding of agricultural environmental response mechanisms, disaster response strategies, and adaptive management decisions. It breaks through the limitations of existing technologies and improves the scientific, practical, and forward-looking nature of teaching.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of agricultural education, in particular to a linkage weather data agricultural situational teaching system, which comprises a weather data access unit, a multi-dimensional coupling modeling unit, a dynamic situation generation unit, a physical sand table execution unit and an immersive interaction unit; the weather data access unit is connected with a national weather data center, the multi-dimensional coupling modeling unit is internally provided with a weather anomaly index calculation module, the dynamic situation generation unit drives a micro-terrain adjusting mechanism and an environment regulating execution mechanism in the physical sand table execution unit, and is connected in parallel with a tactile feedback glove in the immersive interaction unit; the application can dynamically generate a teaching situation based on a real weather event, realize multi-dimensional coupling and immersive interaction of weather-crops-management measures, and improve the teaching effect of agricultural disaster response and adaptive decision-making.
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