Digital twinborn intelligent monitoring platform and method for small-particle-size vegetable precision seeder
By designing a digital twin intelligent monitoring platform to monitor the sowing status of the seeder in real time, the problem of lagging quality assessment of traditional seeder operations has been solved, realizing real-time monitoring and intelligent diagnosis of the seeder, and improving the sowing qualification rate and equipment reliability.
Patent Information
- Application Number
- CN202511499474.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-20
- Publication Date
- 2026-03-13
AI Technical Summary
Traditional seeders rely on slow manual spot checks for quality assessment, lacking real-time feedback and control capabilities, making it difficult to achieve real-time monitoring and optimization of the seeding process.
Design a digital twin intelligent monitoring platform based on a precision seeder for small-particle vegetables, including a mechanical system, a detection module, a control module, a communication module, and a digital twin module. The platform monitors seeding data in real time through sensors and performs data analysis and visualization through the digital twin platform, supporting remote control and preventive maintenance.
It enables real-time monitoring and intelligent diagnosis of the seeding status of the seeder, improving the seeding qualification rate, reducing the risk of equipment failure, and increasing operational efficiency and equipment lifespan.