• Leading the Smart Transformation of the Grain Processing and Distribution Industry through the Establishment of a Smart Factory Platform via Technology Transfer from the Korea Food Research Institute.
• The Nonghyup Rice Processing Complex (RPC) is managed smartly through an AI and IoT-based Smart RPC Production and Distribution Management System.
• Building an Integrated Information Platform based on Big Data collected throughout the entire process of Grain Processing and Distribution.

• • Rice Cultivation

    Cultivation History

    Farmland Management Data

    GIS-based Farmland-specific
    Cultivation History Management System

    

  • Drying and Storage Facility

    Purchased Paddy Rice

    Drying and Storage Data

    Grain Purchase Settlement &
    Storage Inbound/Outbound Inventory Management System

    

  • Grain Processing Facility

    Sorting, Processing, Packaging

    Production and Quality Data

    Smart RPC Production Management System

    

  • Market Distribution

    Product Production History Inquiry(Variety, Production Date, Origin, Crop Batch, Quality Information, etc.)

    History and
    Quality Information System

    

• Information Analysis

  • Estimated Rice Production Volume
  • Determination of Appropriate Purchase Price
  • Analysis of Crop Yield by Period
  • Improvement of Cereal Policies
  • Establishment of Optimal Quantity Purchase Plans

  Benefits

  • Customized Rice Production for Customers
  • Safe Food Supply
  • Enhanced Quality Control
  • Expansion of High-Quality Rice Exports

• CLOUD RPC Integrated Information Platform for the Cereal Processing and Distribution Industry

• We have independently developed an automated data collection system for production and quality-related data from various production lines.
• We possess hardware and software construction skills required for IoT-based AI Smart Factory establishment, as well as AI algorithm design skills.

• Through smart transformation, it is possible to enhance competitiveness by producing high-quality crops with a focus on quality-centered branding and commercialization.
• The automation of APC can address the shortage of labor caused by the aging rural population.
• Through data collection and analysis, it is possible to produce high-quality crops.

• By computerizing management tasks such as sales and production management, the productivity of facility operators can be improved, and operational efficiency can be increased.
• Through integration with on-site Human Machine Interface (HMI), basic data can be collected and searched conditionally, with the ability to output forms.
• Collected data can be visualized for analysis, leading to improved production yield and quality, as well as production planning based on supply predictions.

• Operational Management and Integrated Control System
• Smart Automated Cleaning System
• Inventory Yield Management System
• Smart Monitoring System

• Distance measurement sensors and temperature/humidity sensors are installed on the top and upper surface of the tank, allowing wireless communication to measure the tank's volume, surface distance, temperature, and humidity.
• Real-time management of grain quantity, temperature, and humidity for each tank, enabling decisions regarding discharge based on tank-specific data.

Using collected data, future management of grain levels inside the tank can be linked to volume and adjusted based on temperature and humidity conditions.

Integration of IIoT sensors enables 3D visualization of the silo's interior, facilitating accurate volume calculations and inventory assessment.

Automatic Warehouse Material Movement Management System utilizes Radio Frequency (RF) tags attached to products, enabling easy management of inbound and outbound status for each warehouse.

• RF tags attached to each raw material ton bag, pallet, and bulk ton bag are used to manage warehouse-specific inbound and outbound information.
• Based on stored information, warehouses can be selected to check inventory levels and inbound/outbound history.
• Sensors attached to warehouse doors are used to monitor door open/close status (if open for a certain period, a warning sign is displayed).

• Real-time measurement and storage of energy consumption within RPC through IoT sensors.
• Analysis of energy usage by equipment and process to analyze energy consumption-related data based on conditions such as load and usage.
• Detection of equipment in idle states and automatic control of power supply (On/Off) to minimize energy consumption.
• Automatic equipment power supply control using AI algorithms to extend equipment and consumable lifespan.
• Real-time monitoring of data collected from individual power meters installed on-site at the office.
• Collected data can be queried on a daily and hourly basis.
• Output of queried power consumption data in the required format.