Technical Analysis: Construction of Intelligent Management and Control System for the Whole Industry Chain
Relying on the high-quality grain production area of Zhaoyuan County, Heilongjiang Province, Yaduo Grain Management Co., Ltd. has built an intelligent technology system covering the whole link of planting, purchasing, processing, warehousing and sales. The company's self-developed intelligent planting management system collects 12 core parameters such as soil temperature and humidity and light intensity in real time through IoT sensors, and combines AI algorithms to generate accurate planting plans. Taking the 2025 autumn harvest season as an example, the system increased the yield of corn by 8.7 per mu, and reduced the fluctuation range of moisture content to ± 1.5, which was significantly better than the traditional planting model.
Practical steps: intelligent storage environment dynamic control technology
In the warehousing sector, the company deployed an intelligent environmental control system with three levels of control capabilities:
STEP1: Real-time monitoring of grain pile status through temperature and humidity sensor network (accuracy ± 0.5 ℃/± 2% RH)
STEP2: The AI algorithm automatically generates ventilation and refrigeration schemes according to parameters such as grain variety and storage time.
STEP3: The actuator (such as axial flow fan, grain cooler) responds to the regulation command within 15 seconds
During the high temperature period in the summer of 2025, the storage loss rate will be reduced from the industry average of 1.2 percent to 0.3 percent, and the annual cost savings per warehouse will exceed 120000 yuan.
Case Dismantling: Application of Supply Chain Digital Traceability Platform
In view of the quality control pain points in the grain circulation link, the company has developed a blockchain traceability platform to achieve three major technological breakthroughs:
1. data acquisition layerMore than 500 intelligent terminals are deployed in planting bases, processing plants and logistics nodes, and production data is uploaded every 15 minutes.
2. algorithm processing layer: Using SHA-256 encryption algorithm to ensure that the data can not be tampered with, traceability query response time <0.3 seconds
3. Application presentation layer: Consumers can view the video record of the whole process from planting to delivery by scanning the packaging QR code.
The platform will serve the circulation of 32000 tons of grain in 2025, with the customer complaint rate falling 67% year on year and the re-purchase rate rising to 82%.
Technical Parameters and Compatibility Requirements
Intelligent planting management system adaptation conditions:
-Soil type: black soil, cinnamon soil with medium fertility or above
-Climate conditions: annual precipitation 400-800mm area
-Hardware requirements: 4G/5G network coverage, single-base deployment cost about 8-120000 yuan
Intelligent storage environment control system core parameters:
-Temperature control range: 5-30 ℃ (accuracy ± 1 ℃)
-Humidity control range: 45-75% RH (accuracy ± 3% RH)
-Maximum processing capacity of single warehouse: 5000 tons
FAQ Technical Difficulties Analysis
Q1: How does the smart planting system cope with extreme weather?
A: The system has a built-in meteorological warning module, which can predict rainstorm, drought and other disasters 72 hours in advance and automatically start the emergency plan. For example, during the rainstorm in Zhaoyuan County in August 2025, the system will close the irrigation valve 4 hours in advance to avoid waterlogging of 300 mu of farmland.
Q2: How to ensure the security of blockchain traceability data?
A: The SM2/SM3 algorithm is used to encrypt the transmission. The data is stored in distributed nodes. The failure of a single node does not affect the operation of the system. In 2025, the system passed the three-level certification of national information security level protection.
Q3: What is the energy consumption level of the intelligent storage system?
A: By optimizing the operation of equipment through frequency conversion technology, the annual power consumption per ton of grain is reduced from 18kWh in the traditional way to 6.5kWh, which meets the requirements of GB/T 23331-2020 energy management system.
