基于云计算数据处理的精量播种机参数研究

Research on Precision Seeder Parameters Based on Cloud Computing Data Processing

针对现有精量播种机的采用机械或液压作动方式、集成传感技术实现的精量播种存在的不足之处,提出通过云计算的方式设计一种在线全过程状态监测系统。系统集成传感技术、参数信息采集模块、人机交互显示模块、控制驱动模块、报警模块及补偿模块,可实现精量播种,有效解决了播种过程中出现的排种堵塞、漏播种、重复播种及播种过程无报警无补偿现象。仿真分析表明:系统可有效进行播种状态监测及补偿,播种过程中排种轮的转速对播种过程的正确性影响不大。研究可为精量播种的机械化自动化研制提供技术支持。

Aiming at the shortcomings of the existing precision seeder, which adopts mechanical or hydraulic action mode and integrates sensing technology to realize precision seeding, an on-line whole process state monitoring system is designed by means of cloud computing. The system integrates sensing technology, parameter information acquisition module, man-machine interactive display module, control driver module, alarm module and compensation module to realize precision seeding. Effectively solve the seeding blockage, missed seeding, repeated seeding and no alarm and no compensation in the seeding process. Through the simulation analysis and calculation of the linear regression coefficient of the system, it can be concluded that the system can effectively monitor and compensate the sowing condition. At the same time, it can be concluded that in the sowing process, the rotation speed of the metering wheel has little effect on the accuracy of the sowing process. It provides basic technical support for the development of mechanized automation of precision seeding.