基于Cortex-M3的免耕播种机监控系统设计与试验
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国家重点研发计划项目(2016YFD0200600)和山东省重点研发计划项目(2016CYJS03A01)


Design and Test of Monitoring System of No-tillage Planter Based on Cortex-M3 Processor
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    摘要:

    针对目前国内免耕播种机的监测传感器抗尘效果差、监测精度低,且施口肥量不能变量调节,施用不当易引起烧种、烂种的问题,设计了一种基于Cortex-M3处理器的免耕播种机监控系统。该系统采用面源无盲区抗尘监测技术设计种子传感器,消除了监测盲区,提高了系统对多尘环境的适应性和监测准确性;采用离散增量式PID控制算法,根据预设施肥量和采集作业速度,实时调节口肥量与作业速度相匹配,实现了播种、施肥状况的监测和作业面积的统计,进一步实现了作业过程中缺种、堵种、缺肥、堵肥等故障报警,并可显示故障类型和故障行号。室内和田间试验验证结果表明:该监控系统工作稳定可靠,播种量计数和施肥量变量调节准确率较高,播种量计数偏差在4%以内,当施口肥量设定为75kg/hm2时,不同作业速度下,实际施肥量与理论施肥量的偏差在5%以内,满足了实际生产需求,提高了播种机的工作效率和施肥精度。

    Abstract:

    At present, the anti-dust effect is poor and the monitoring precision is low for the monitoring sensor of domestic fertilization planter. Besides it can not adjust the amount of fertilizer. A monitoring system of fertilization seeder based on Cortex-M3 processor was designed in order to settle these problems. The system could adjust the amount of fertilizer according to the working speed. It also could monitor conditions of seeding and fertilizing in time, count quantity of seeding and area statistic. When the fault occurred, it would send out alarm by buzzer and show fault type. The system adopted one piece of silicon photoelectric diode which had a large photosensitive area as receiving component and three infrared light emitting diode (LEDs) to design the seed sensor, which contained a vitreous dust cover. The structural and installation parameters of sensor were optimized to eliminate monitoring blind area. All the above helped to improve the dust-laden environmental adaptability and accuracy of monitoring system. The system adopted outer groove-wheel to design fertilizer apparatus which was driven by a worm-gear direct current(DC)motor with the rated voltage of 12V and power of 50W. Besides one end of worm shaft was connected to outer groove-wheel and the other connected to an incremental encoder for motor speed measurement. The encoder’s accuracy was 100 P/R (pulses/revolution). The main hardware circuits such as sensor signal acquisition circuit, motor drive circuit and controller area network (CAN) bus interface circuit were designed by Altium Designer software. The display interface contained three parts: main interface, setting interface and query interface. They were designed based on four rows corn planter. The seeding performance of each row was displayed in the form of a number and ring icon. The numbers showed specific seeding values. When the performance became poor, the ring icon was turned from green to red. The software development environment was Keil uVision5, and the program was written in C language. The system adopted incremental proportion integration differentiation (PID) control algorithm for the speed adjustment of fertilization motor. Lab test showed that when presetting fertilization amount was 75kg/hm2, the work breadth was 2.6m, speed was 3km/h, 4km/h, 5km/h, 6km/h and 7km/h, respectively, fertilization was varied with the speed. Fertilization deviations were 2.88%, 4.63%, 0.74%, 2.47% and 3.17%, respectively. When presetting motor rotation speed was 150r/min, seeding quantity counting deviation of the system were within 4%. The monitoring system was installed on no-tillage corn precision planter of Debont company to conduct a field trial. When presetting fertilization amount was 75kg/hm2, vehicle run 1000m with a stable speed of 3km/h, 4km/h, 5km/h,6km/h and 7km/h, respectively, the coefficient of variation of fertilization were 1.70%, 1.98%, 1.92%, 1.76% and 2.63%, respectively. Meanwhile, fertilization deviation was less than 5%. Therefore, consistency and accuracy of the system were good, which could meet the requirement of actual production. The study provided reference for the research of variable rate fertilization control technology and development of intelligent monitoring system.

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孙永佳,沈景新,窦青青,李青龙,陈刚,孙宜田.基于Cortex-M3的免耕播种机监控系统设计与试验[J].农业机械学报,2018,49(8):50-58.

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  • 收稿日期:2018-02-09
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  • 在线发布日期: 2018-08-10
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