Research On Key Operation Quality Monitoring System Of Automatic Transplanter

The automatic transplanter can replace the manual transplanting operation.The action of taking seedlings and planting seedlings by mechanical parts.It greatly reduces the labor input during the transplanting operation and improves the economic benefits.At present,automatic transplanter are developing at high speed and high efficiency.However,when implementing the high speed operation of the transplanter,It is easy to see the quality of key operations such as seedling damage and lodging caused by seedling effect and planting effect.Most of the current transplanting machines are mechanical components.There are few transplanters that integrate information sensing,electrical and control technologies.Lack of detection and feedback of job quality information,The transplanter operator cannot obtain the job quality information in real time and adjust the transplanter parameter information to improve the operation effect.This results in a decline in the quality of the work.This paper is to solve the problem of quality monitoring of automatic transplanter operation.The research on the monitoring technology of the keying operation quality information of the automatic transplanter was carried out.And develop related monitoring systems.The specific research contents are as follows:1.This paper introduces the development status and characteristics of automatic transplanting machines at home and abroad,and selects the automatic transplanting machine with the picking and picking type and the acupoint-putting type to carry out the exploratory research on the detection method of key planting action and effect information.2.The high-speed camera was used to test the action process of taking seedlings to take seedlings,and the six action processes of mechanical claws to pick up seedlings were summarized.Aiming at the process of interaction between the needles and the potted seedlings,the model of inserting and pulling the pinch of the seedlings was established.And the uneven compression change of the seedlings in the process of clamping is obtained,and the concept of compression compensation amount is proposed.When designing and installing the sensor,it is necessary to consider the change of the compression amount at different positions of the wall of the pinch pin,and the compression compensation amount ranges from 0 to 3.8 mm.3.The mechanical properties of the compression damage of the seedlings were studied.It can be known that the compression process of the carcass can be roughly divided into three stages.The first stage is the compression starting point to the yield limit point.At this time,the body is deformed by the compressive force,and the unloading compression force is deformed.The second stage is the yield limit point to the compaction point.At this time,the deformation of the carcass can recover after the unloading compression force.The third stage is the compaction point to the fracture point.At this time,the deformation of the carcass cannot be recovered after unloading,and the edge of the carcass is broken.The experimental results show that the mean value of the compression yield point of the carcass is 3.873N-4.872 N,the mean value of the compaction point is 6.645N-6.663 N,and the mean value of the fracture point is 12.579N-14.045 N.The test results provide a theoretical reference for the clamping force detection threshold and range.4.Design of clamping force detection sensor based on PVDF piezoelectric film.A seedling clamping force sensor for a semi-micro cylinder structure is proposed.Using ANSYS analysis software for strain simulation and piezoelectric simulation,the simulation experiment carried out the strain distribution and piezoelectric model demonstration of the designed sensor.Designed and fabricated a clamping force detection sensor based on PVDF piezoelectric film.The sensor signal acquisition circuit is designed to realize the amplification,filtering,conversion and acquisition and transmission functions.5.Based on NI-Vision,a seedling tilt angle visual recognition algorithm was developed.And use LabVIEW to develop the key operation quality monitoring system for automatic transplanter.Realize the design of acquisition communication and interaction interface of hardware devices,and carry out system test to verify the effectiveness of system monitoring function.