一种基于工业互联网的产业监测方法、装置、设备及介质

By collecting and analyzing multi-channel data based on the Industrial Internet, industry distribution and supply chain maps are generated, and enterprise characteristics are evaluated. This solves the problem of information lag in traditional monitoring methods and realizes intelligent monitoring and dynamic analysis of industries.

CN118503441BActive Publication Date: 2026-07-17INSPUR YUNZHOU (SHANDONG) IND INTERNET CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INSPUR YUNZHOU (SHANDONG) IND INTERNET CO LTD
Filing Date
2024-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional industry monitoring methods rely on single data sources, incomplete information, and lack intelligent analysis. They fail to provide timely insights into industry status and changes, resulting in information lag and difficulty in accurately predicting development trends and potential risks.

Method used

Based on the Industrial Internet, multi-source industry data is collected through multiple channels, preprocessed and classified for statistical analysis, and industry distribution maps and supply chain maps are generated to evaluate enterprise operating characteristics, generate enterprise profiles, and quickly determine the development status of enterprises.

Benefits of technology

It enables comprehensive monitoring of industry operations, provides information such as enterprise size and innovation capabilities, provides a basis for decision-making, improves monitoring efficiency and accuracy, and supports strategy formulation.

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Abstract

本说明书实施例公开了一种基于工业互联网的产业监测方法、装置、设备及介质,方法包括:基于多渠道采集当前待监测区域的多源产业数据,以对多源产业数据进行数据预处理,获得有效产业数据;基于有效产业数据所对应的地理区域信息与当前待监测区域的地理区域信息,对有效产业数据进行分类统计,以确定当前待监测区域的产业分布图谱与供应链图谱;根据待监测区域的产业分布图谱与供应链图谱中各产业的关联关系,评价待监测区域内各产业企业,获得各产业企业的经营特征数据;基于经营特征数据生成各产业企业的企业画像,以基于待监测区域内各产业企业的企业画像,快速确定待监测区域内各产业企业的发展状态。
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