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Design of intelligent transplanting system for vegetable pot seedling based on PLC control

机译:基于PLC控制的蔬菜幼苗智能移植系统设计

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Pot seedling transplanting is the main way of vegetable planting, there were some problems of labor intensity and low level of automation in the process of mechanized transplanting of vegetable pot seedling. Aiming at this problem, this paper designed an intelligent transplanting system for vegetable pot seedling, which included the function of the seeding storage mechanism, the seedling feeding mechanism, the ejecting seedling mechanism, the pinch mechanism and the planting mechanism, the system monitors the whole movement process of planting through pressure sensing, stroke detection and limit switch, obtains each planting stage of the seedlings during planting, and uses the CCD camera to identify the key steps of planting and seedlings to determine whether it is missing. Three broccoli seedlings with different moisture content and the age of 42d were used as the experimental object of seedlings planting experiment. Results indicated that: Under the conditions of meeting the agronomic requirements of vegetable pot seedlings, when the speed of picking-up seedlings was 75 seedlings per minute, which resulted in a 95% success rate of picking-up seedlings and 5% leaked seedlings rate, the planting effect of vegetable pot seedlings was the best. The research can provide useful reference for the development of intelligent transplanting technology of vegetable pot seedling.
机译:锅幼苗移植是蔬菜种植的主要方式,在蔬菜盆栽机械移植机械化移植过程中存在一些问题。旨在解决这个问题,本文为蔬菜盆栽智能移植系统设计了一种智能移植系统,包括播种储存机构的功能,幼苗进给机构,喷射幼苗机构,夹紧机构和种植机构,系统监测整体通过压力传感,行程检测和限位开关进行种植的运动过程,在种植过程中获得幼苗的每个种植阶段,并使用CCD摄像机识别种植和幼苗的关键步骤,以确定是否缺失。三种西兰花幼苗具有不同的水分含量和42d岁的幼苗种植实验的实验对象。结果表明:在满足蔬菜池幼苗的农艺要求的条件下,当拾取幼苗的速度为每分钟75个幼苗时,导致拾取幼苗的95%的成功率和5%泄漏的幼苗率,蔬菜盆栽种植效果是最好的。该研究可以为蔬菜幼苗智能移植技术的开发提供有用的参考。

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