Grain Management Big Data

Application Scenario

Grain Management Big Data

The Five-Year Development Plan for the Informatization of People’s Courts and the Five-Year Development Plan for the Informatization of the Supreme People’s Court emphasize the critical role of informatization in serving the public, supporting trial and enforcement processes, and enhancing judicial administration. These plans call for the development of “Smart Courts” and the accelerated establishment of Court Informatization 3.0, centered on big data analytics, to promote the modernization of both the judicial system and judicial capabilities.

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Industry Challenges

Information Silos

There is no unified standard among the National Grain Administration and its branches. Data circulation is limited, resulting in information silos. Additionally, the existing data governance systems and technologies cannot meet current business requirements for grain security informatization, leading to low operational management levels and weak data management capabilities.

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Massive Data Storage Issues

The existing grain data systems lack the capacity for large-scale data extraction, analysis, and processing during data exchange. Data in foundational databases, such as the grain circulation and market entity databases, are not sufficiently precise, cannot store full datasets, and fail to provide high-quality data for shared data modules and analytical centers.

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Insufficient Data for Analysis and Visualization

Current visualization systems rely on relatively simple graphical methods, limiting managers’ ability to understand national and provincial grain stock conditions. With the increasing volume and complexity of data related to grain products, logistics, and meteorology, demand for big data visualization has grown significantly. Existing visualization platforms cannot meet the precision requirements for display and analysis.

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System Architecture Limitations

Legacy systems and technologies are insufficient for accurate grain yield prediction and precise matching across grain circulation stages, leading to potential misjudgments. This constrains macro-level regulation and management decisions in logistics, warehouse allocation, processing, production, sales, and export within the grain circulation sector.

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Our Methodology

Based on big data technology, Smart Grain initiatives have been implemented to apply information technology across all stages of grain circulation. A foundation has been essentially established that is supported by intelligent grain-related data, uses digitalized storage operations as its backbone, and employs visualized remote supervision as a key focus.

The initiative comprehensively enhances intelligent grain storage management levels, promotes informatization development across the national grain industry, and lays a solid foundation for establishing advanced intelligent grain management systems.

This system utilizes precision emergency regulation as a primary method, forming a modernized information network system for grain circulation. Centered on provincial and municipal grain bureaus, this network is structurally complete, fully functional, secure, stable, and enables information sharing and multi-level coordination.

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Implementation Value

In widely scrutinized areas such as construction projects, poverty alleviation and public welfare, science and academia, and law enforcement oversight, the platform allows for proactive clue detection, early warning, and sustained deterrence. It facilitates an integrated approach to verification, investigation, correction, and prevention, fostering a clean, transparent, and sound political environment.