Supports binding driver and vehicle information through QR code scanning/mini programs, making online reservations, self-service check-in, and queuing to enter the factory. At the same time, a self-service registration area is set up outside the factory area to facilitate the rapid queuing of vehicles without reservations, and to coordinate with the reasonable allocation of roads to guide vehicles to enter the factory in an orderly manner.

The vehicle automatically recognizes and judges the vehicle license plate information when passing through the gate, and cooperates with electronic screens and voice commands to allocate lanes and sample parking spaces. After the sample cutting is completed, the intelligent reminder of the vehicle's whereabouts ensures the integrity of the business process, and the vehicle can be automatically released through the gate.

The carriage recognition system automatically starts and commands the vehicle to ensure parking in place. Control the sampling stick according to the size of the carriage, and randomly select points within this range to automatically extract samples. At the same time, it has functions such as automatic rebound when encountering hard objects and sampling at any depth.

Cutting raw grains support automatic sampling in the system according to the requirements of retention samples and various quality inspection equipment.

Sample separation, impurity removal, and tested samples support automatic circulation without manual intervention.

Before conducting moisture, impurities, and incomplete particle detection, automatically remove impurities from the sample and analyze and calculate the impurity content.

Support automatic detection of impurities, imperfect particles, and moisture in raw grain samples, and automatically upload test results to the digital quality inspection system.

Support the correlation and summary of quality inspection sample numbers, indicator testing results, etc. Based on storage requirements and grading standards, provide qualification and grade judgments to avoid manual input of information errors or human intervention in testing results.

Establish a traceability system, automatically complete the sampling and packaging of retained samples after testing, and automatically generate labels or QR codes. The content of sample labeling includes but is not limited to sample date, number, and other information.

Realize intelligent guidance and supervision of people, vehicles, and goods. Vehicles can be weighed and parked in place through gates and voice commands. When measuring and weighing, unmanned on-site weighing can be achieved. The anti fraud system monitors the behavior of vehicles and personnel in real-time to avoid fraudulent behavior.

Automatic grading and quantity deduction based on laboratory and inspection results to avoid information errors in manual input. Drivers can view and print sales vouchers on their own, and the system will push the corresponding settlement data to relevant departments of the enterprise for unified settlement and payment to the reserved bank card number.

Associate information such as grain variety, supplier, grain origin, harvest year, purchase/storage time, storage location and quantity, quality level, quality status, and grain destination, and store it in the database of this system or transmit it to the higher-level system as needed to achieve traceability of grain quality and safety and information association at different stages.

Through the summary of data in various links such as grain sales vehicle information, supplier raw grain quality data, inspection, etc., corresponding data can be extracted according to business needs for analysis and in-depth mining, which can be used in the collection, storage, and production management links.