Blockchain-based agricultural disaster data intelligent analysis system and method

By constructing a three-dimensional coordinate system and orthogonal projection graphics, the problem of excessive resource consumption in blockchain-based agricultural disaster data management has been solved, enabling efficient and reliable disaster data analysis and early warning, and improving the efficiency of agricultural disaster monitoring and early warning.

CN122414547APending Publication Date: 2026-07-17JILIN PROVINCE JIKE SOFT INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JILIN PROVINCE JIKE SOFT INFORMATION TECH CO LTD
Filing Date
2026-04-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the existing blockchain-based agricultural disaster data management model, disaster data analysis requires traversing the entire historical data, resulting in excessive consumption of computing power and storage resources. Furthermore, it is difficult to achieve data immutability, traceability, and trusted sharing among multiple parties.

Method used

By collecting and classifying agricultural disaster data, constructing a three-dimensional coordinate system and generating orthogonal projection graphics, and establishing a reference library, intelligent data analysis and comparison can be achieved, reducing resource consumption and ensuring the immutability of data.

Benefits of technology

It significantly reduced the consumption of computing power and storage resources, improved the efficiency of disaster data management and retrieval, enhanced the objectivity and accuracy of disaster type matching and judgment, simplified the analysis process, and realized intelligent judgment of agricultural disasters.

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Abstract

本发明公开了基于区块链的农业灾害数据智能分析系统及方法,涉及大数据分析技术领域,本发明通过采集历史农业数据,分类后同步写入区块链;将每日土壤湿度均值、温度均值、风力等级最高值两两组合,与时间构建三维坐标系,经正交投影生成三视图并拼接图形,投影生成标准化参考图,绑定灾害事件构建参考库。提取实时农业数据生成对比图,与参考库开展重合测试计算相似值,按相似值排序标注灾害类型并输出分析灾害相似度清单。系统由数据上链、坐标建模、参考构建、智能分析模块协同运作。本发明无需遍历全量历史数据,大幅降低算力消耗,以图形化量化比对提升灾害研判精准度,为农业防灾减灾提供高效智能支撑。
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